Microsoft PL-900 Microsoft Power Platform Fundamentals Exam Dumps and Practice Test Questions Set 8 Q141-160
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Question 141:
Which Power Apps feature allows automatic notification and actions when a business event occurs?
A) Power Automate
B) Canvas app
C) Model-driven app
D) Power BI
Answer: A) Power Automate
Explanation:
Power Automate is a cloud-based service that enables users to create automated workflows between apps and services. It allows for the execution of tasks and notifications automatically when specific business events occur, such as the creation of a record in Dataverse, the receipt of an email, or the update of a SharePoint list. By using triggers and actions, Power Automate ensures that repetitive and time-sensitive processes are handled efficiently without requiring manual intervention, which improves productivity and reduces the risk of human error. Workflows can also include conditions, loops, and error handling, providing flexibility for complex business scenarios.
Canvas apps in Power Apps are primarily designed for creating user interfaces where users can enter, view, and interact with data. These apps provide a drag-and-drop interface for building custom screens, forms, and controls. While they can connect to multiple data sources and include basic logic, they do not natively handle automated workflows or event-based triggers in the same way Power Automate does. The primary purpose of a canvas app is interaction, not automation, which makes it unsuitable for the scenario described in the question.
Model-driven apps are data-centric apps built on Microsoft Dataverse that leverage tables, relationships, and business processes to create structured applications. These apps automatically generate forms, views, and dashboards based on the underlying data model, making them ideal for complex enterprise applications. Although model-driven apps can integrate with Power Automate to trigger workflows, the app itself does not inherently provide the automation capabilities or event-driven actions; it is the combination with Power Automate that enables such behavior.
Power BI is primarily an analytics and reporting tool that allows users to visualize and analyze data from multiple sources. It provides dashboards, reports, and interactive visualizations to help users gain insights and make data-driven decisions. While Power BI can provide alerts based on thresholds and integrate with Power Automate for certain actions, it is not designed to be a workflow automation platform. Since the question emphasizes automatic actions in response to business events, Power Automate is the correct answer because it is specifically built to detect triggers and perform automated actions in response to events.
Question 142:
Which Power BI feature allows users to navigate from summary data to detailed report pages?
A) Drill-through
B) Bookmark
C) Slicer
D) Tooltip
Answer: A) Drill-through
Explanation:
Drill-through in Power BI allows users to explore more detailed data related to a selected summary value in a visual. For example, clicking on a sales region in a high-level summary report can navigate the user to a page that provides individual sales transactions or customer details filtered to that region. This creates an intuitive user experience where users can move from aggregated insights to specific data points, facilitating deeper analysis and helping decision-makers investigate trends or anomalies without manually applying multiple filters.
Bookmarks in Power BI capture the current state of a report, including applied filters, slicers, drill state, and visual selection. They are useful for creating presentations, storytelling, or returning to a specific view, but they do not dynamically navigate from summary to detail data. Bookmarks are essentially snapshots rather than interactive navigational features, which makes them unsuitable for the functionality described in the question.
Slicers are interactive filter controls that allow users to filter visuals based on specific criteria, such as date ranges, categories, or numeric values. While slicers enable dynamic filtering and can help users analyze subsets of data, they do not provide a mechanism to navigate from one report page to another based on a selected data point. They simply modify the view of the data on the same page rather than creating a drill-through experience.
Tooltips in Power BI display additional information when a user hovers over a data point. These can include textual details, charts, or images that give more context without navigating away from the main report. Tooltips are meant for contextual data exploration and cannot redirect users to another report page. Since the question specifically asks about moving from summary data to detailed report pages, drill-through is the correct answer, as it is designed to provide targeted navigation based on user selections in visuals.
Question 143:
Which Dataverse feature allows temporary storage of data within a session for use across multiple screens?
A) Collection
B) Choice column
C) Label
D) Lookup column
Answer: A) Collection
Explanation:
Collections in Power Apps are in-memory tables that temporarily store data during an app session. They can hold a single value, multiple values, or complex records and are accessible across different screens in the app. Collections are ideal for scenarios where you need to cache data, manipulate it temporarily, or pass data between screens without saving it permanently to Dataverse or another database. They provide a flexible way to handle user interactions, calculations, or temporary lists, and their contents disappear once the session ends.
Choice columns in Dataverse provide a way to offer predefined options for a field, like dropdown selections. They are stored permanently in the database and are not designed for temporary session-based storage. While they are useful for consistent data entry, they do not allow the kind of in-memory, temporary multi-screen access that collections provide in Power Apps.
Labels are UI elements that display static or dynamic text on a screen. While labels can show values from controls, collections, or formulas, they do not store data independently or provide persistence across multiple screens. They are purely presentational and cannot hold session-based data for further processing, which is the key requirement in this question.
Lookup columns in Dataverse create relationships between tables, allowing one table to reference records from another. They ensure data integrity and enable relational data modeling, but they store permanent references rather than temporary session data. Since the question focuses on temporary, session-based data accessible across multiple screens, collections are the correct answer because they meet all these criteria by providing in-memory, app-wide storage for the duration of a session.
Question 144:
Which Power Automate feature executes actions repeatedly until a condition evaluates to true?
A) Do until
B) Scope
C) Condition
D) Parallel branch
Answer: A) Do until
Explanation:
Do until is a looping control in Power Automate that repeatedly executes one or more actions until a specified condition is met. This loop is particularly useful when waiting for an external event, monitoring a variable, or retrying actions until a success criterion is satisfied. You can configure the loop with a maximum number of iterations or timeout to prevent infinite loops, making it a robust feature for automating repetitive tasks while maintaining control over flow execution.
Scope in Power Automate is used to group multiple actions into a single logical container. It helps organize and manage flows by bundling related actions, which can simplify error handling and improve readability. However, scope itself does not perform any iteration or repetition; it merely groups actions together, so it cannot execute actions repeatedly until a condition is met.
Condition in Power Automate evaluates a logical expression and branches the flow into true or false paths. While conditions are essential for decision-making in flows, they do not inherently loop or repeat actions; they only determine which set of actions should execute based on the evaluation result. Conditions are static evaluations and cannot replace the iterative behavior of a loop like Do until.
Parallel branch allows actions in a flow to execute concurrently, enabling multiple sequences to run simultaneously without waiting for each other. While parallel execution can improve performance, it does not provide looping or repeated execution based on a condition. Since the question explicitly asks for repeated execution until a condition is true, Do until is the correct answer because it is the dedicated looping control that fulfills this requirement in Power Automate.
Question 145:
Which Power BI feature allows combining data from multiple sources into a single query?
A) Merge queries
B) Relationships
C) Filters
D) Bookmarks
Answer: A) Merge queries
Explanation:
Merge queries in Power BI are used in Power Query to combine tables from different data sources into a single query based on matching columns, similar to a SQL join. This feature enables users to bring together disparate data, perform transformations, and create unified datasets for analysis. Merging ensures that related information from multiple sources can be analyzed together, supporting comprehensive reporting and insights. The merge operation can be inner, left, right, or full outer join depending on the requirement.
Relationships in Power BI define logical links between tables, allowing data from related tables to interact in visuals, aggregations, and filters. While relationships are important for model design, they do not physically combine data into a single query. They enable the navigation of related fields but do not perform the merging operation that consolidates multiple sources into one table.
Filters in Power BI allow users to restrict the data displayed in visuals, reports, or dashboards. They are essential for focused analysis but do not combine data from multiple sources. Filters are applied after data is loaded and do not alter the underlying query structure or create unified datasets.
Bookmarks capture the current state of a report, including filters, slicers, and visual settings, to allow users to return to or present a specific view. They are not related to data transformation or merging operations. Since the question specifically asks about combining data from multiple sources into one query, merge queries is the correct answer because it provides the functionality to physically join tables and create a single, comprehensive dataset ready for reporting.
Question 146:
Which Power Apps component allows users to input or edit single records from a data source?
A) Form
B) Gallery
C) Label
D) Button
Answer: A) Form
Explanation:
The Form control in Power Apps is designed specifically to facilitate data entry and editing for individual records in a data source. It provides a structured interface where users can view, input, and modify data fields for a single record at a time. This makes it ideal for scenarios where detailed, record-specific input is required, and it can be connected to any supported data source, such as Dataverse, SharePoint, or SQL. Forms also include built-in validation and layout features, which help ensure data integrity and user-friendly design.
The Gallery control, on the other hand, is used to display multiple records from a data source in a scrollable or tabular format. While galleries allow users to view and interact with lists of data, they are not designed for editing a single record at a time. Galleries are ideal for summarizing or browsing data, but for detailed data entry, they lack the structured field-level input capability that forms provide.
Label controls are primarily used to display static or dynamic text on the screen. They cannot accept user input or modify data. Labels are useful for headings, instructions, or displaying calculated values, but they do not interact with data sources in a way that allows editing records.
Button controls are designed to trigger actions, such as submitting data, navigating to another screen, or executing logic within an app. While buttons can be part of a form’s submission process, they themselves do not provide any input interface for editing or entering records.
Considering the scenario in the question, the requirement is explicitly for a component that allows input and editing of a single record from a data source. Among the options, only the Form control satisfies both these criteria. The other options either display data without editing capability, display multiple records without single-record editing, or simply trigger actions. This makes Form the clear and correct choice.
Question 147:
Which AI Builder model forecasts outcomes based on historical data?
A) Prediction
B) Form processing
C) Object detection
D) Category classification
Answer: A) Prediction
Explanation:
The Prediction model in AI Builder is specifically designed to analyze historical data and forecast future outcomes. It uses machine learning algorithms to identify patterns, trends, and relationships in the data, allowing organizations to predict customer behavior, sales trends, risk factors, and other important metrics. Predictions can be binary, categorical, or numerical, depending on the data and scenario. This model is invaluable for proactive decision-making.
Form processing models focus on extracting structured data from documents like invoices, receipts, or forms. They convert unstructured or semi-structured data into usable formats, such as key-value pairs or tables. While powerful for automating data entry, form processing does not analyze historical trends or provide future forecasts, so it does not meet the requirement of predicting outcomes.
Object detection models are used to identify and locate objects in images. These models are trained to recognize visual elements such as products, vehicles, or specific patterns. Object detection is focused on computer vision tasks rather than forecasting based on historical data, so it does not apply to prediction scenarios.
Category classification models organize data into predefined categories based on input features. For example, they might classify customer feedback as positive, neutral, or negative. While this model can analyze patterns, it does not generate predictions about future outcomes; it only categorizes existing or incoming data.
The correct choice is Prediction because it directly addresses the requirement to forecast outcomes using historical data. The other AI Builder models have important roles but focus on extraction, recognition, or categorization rather than forward-looking predictions.
Question 148:
Which Power Automate feature allows multiple actions to run simultaneously?
A) Parallel branches
B) Scope
C) Condition
D) Apply to each
Answer: A) Parallel branches
Explanation:
Parallel branches in Power Automate are designed to allow multiple actions or sequences to execute at the same time. This is particularly useful when several independent processes need to run concurrently, such as sending emails, updating records, or calling APIs simultaneously. By using parallel branches, flows can become more efficient and reduce overall execution time.
The Scope action is used to group multiple actions together in a single logical container. While it can improve organization and error handling, actions within a scope run sequentially, not concurrently. It is a useful structural element, but it does not provide simultaneous execution.
The Condition control is used to evaluate logical expressions, branching the flow based on true or false outcomes. Although it can create multiple paths, only one branch executes depending on the condition. It is not intended for running multiple independent actions at the same time.
Apply to each is an iteration construct used to perform actions on every item in a collection. Each action within this loop executes sequentially for each item, making it efficient for processing lists, but it does not provide concurrent execution.
Given the requirement for simultaneous execution, parallel branches are the only option that allows multiple independent actions to run at the same time, making it the correct choice.
Question 149:
Which Power BI feature restricts data visibility for different users based on their roles?
A) Row-level security
B) Filters
C) Bookmarks
D) Dashboards
Answer: A) Row-level security
Explanation:
Row-level security (RLS) in Power BI allows administrators to restrict access to specific rows of data based on a user’s role. This ensures that users only see the data they are authorized to view. RLS is configured using DAX expressions or security roles and applies consistently across reports and dashboards, making it an essential tool for maintaining data confidentiality in multi-user environments.
Filters in Power BI can limit the data displayed in visuals or reports, but they do not enforce security. Users can potentially change filters or access the underlying dataset, so filters alone cannot guarantee restricted access based on roles.
Bookmarks save report views or configurations, allowing users to quickly return to a predefined state of a report. While useful for navigation or storytelling, bookmarks do not control data visibility based on user identity or role.
Dashboards aggregate visuals from multiple reports for high-level monitoring. Dashboards display information according to the underlying reports’ permissions, but by themselves, they do not enforce row-level restrictions.
The correct answer is Row-level security because it directly addresses the need to restrict data visibility for users based on roles. Filters, bookmarks, and dashboards support data interaction but cannot enforce security in the same way.
Question 150:
Which Power Apps control displays multiple records in a scrollable format for user interaction?
A) Gallery
B) Form
C) Label
D) Button
Answer: A) Gallery
Explanation:
The Gallery control in Power Apps is specifically designed to display multiple records from a data source in a scrollable and interactive format. It allows users to view lists of data efficiently, providing the ability to browse, select, and interact with items. Galleries are highly flexible, supporting various layouts such as vertical, horizontal, or flexible templates. This flexibility makes them suitable for a wide range of use cases, from showing simple lists of text items to more complex card-style displays with images, text, and buttons. By using a gallery, developers can create user-friendly interfaces that allow users to explore large datasets without overwhelming the screen.
Forms, in contrast, are intended for single-record interaction. They allow users to view, enter, or edit individual records but are not designed to handle multiple items in a scrollable list format. While forms provide structured input fields and validation for one record at a time, they do not support the kind of browsing or multi-item display that a gallery provides. Therefore, using a form in scenarios where multiple records need to be visible simultaneously would not be effective.
Labels are purely for displaying text and cannot interact with multiple records from a data source. They can show static content or dynamic data linked to a single field, but they lack the functionality to display a list of items, let alone make that list scrollable or interactive. Labels serve an important role in providing information or context within an app but do not facilitate multi-record data display.
Buttons are interactive elements used to trigger actions such as submitting forms, navigating between screens, or executing business logic. While buttons are essential for controlling app behavior, they do not display data from a source, nor do they provide any browsing or scrollable capabilities. They complement other controls but cannot replace a gallery for multi-record display purposes.
Considering the requirement to show multiple records in a scrollable format that users can interact with, the Gallery control is the only suitable option. It is explicitly designed for multi-record display and offers the customization, flexibility, and interactivity that forms, labels, and buttons cannot provide. Using a gallery ensures that users can effectively browse and engage with data, making it the correct choice for scenarios where multiple records need to be presented clearly and efficiently.
Question 151:
Which Power BI feature allows dynamic calculations based on filters and slicers?
A) Measures
B) Relationships
C) Dataflows
D) Bookmarks
Answer: A) Measures
Explanation:
Measures in Power BI are specialized calculations that dynamically evaluate results based on the filter context applied in a report. They are created using DAX (Data Analysis Expressions) and can respond to user interactions, such as selections in slicers, filters, or other visual elements. Measures are not static; their values are recalculated in real time whenever the context changes, which makes them essential for interactive dashboards and analytical insights. For example, a measure can calculate total sales for a selected region or time period based on the slicer selection, providing flexible and dynamic reporting.
Relationships in Power BI, on the other hand, define how tables are connected through keys, such as one-to-many or many-to-many relationships. While relationships are crucial for enabling accurate aggregation and joining of data across tables, they do not perform calculations themselves. Relationships establish the context in which measures and calculated columns operate but cannot dynamically compute values on their own. Without relationships, measures might produce incorrect results due to disconnected or ambiguous data context.
Dataflows are primarily designed for ETL (extract, transform, load) processes in Power BI. They allow users to prepare, transform, and load data from various sources into Power BI or Dataverse. Dataflows are excellent for centralizing and standardizing data before analysis, but they are not designed to perform dynamic calculations based on user interactions in reports. They work at the data preparation stage rather than the interactive reporting stage, which differentiates them from measures that calculate values live in reports.
Bookmarks are a Power BI feature that allows users to save the current view of a report page, including filters, slicers, and visual states. They are useful for storytelling or creating navigation buttons but do not perform calculations. Bookmarks capture static snapshots rather than computing dynamic values based on changes in context.
The correct option is measures because they are specifically built for dynamic calculation, responding to filter context, slicers, and other user-driven interactions. Unlike relationships, dataflows, or bookmarks, measures calculate values on the fly, enabling the kind of flexible analysis that is critical in interactive dashboards.
Question 152:
Which Dataverse feature allows creating reusable business logic without coding?
A) Business rules
B) Field-level security
C) Views
D) Lookup columns
Answer: A) Business rules
Explanation:
Business rules in Dataverse allow users to implement logic that governs how data is handled, displayed, or validated without writing code. They are a no-code solution for applying conditions, setting default values, making fields required, or showing/hiding fields based on certain criteria. Business rules can be applied to multiple forms or tables, making them reusable and consistent across applications. This feature is particularly valuable for organizations seeking standardized business logic without relying on developers or custom code.
Field-level security controls access to specific fields in a table, ensuring that only authorized users can view or edit sensitive data. While important for data protection and privacy, field-level security does not implement business logic or enforce calculations, validations, or conditional visibility. It serves a different purpose—security management rather than process automation.
Views are used to filter and display specific data sets in tables. They help users focus on relevant records but do not apply rules or logic that enforce data validation, calculations, or dynamic behavior. Views are primarily presentation-focused, allowing customization of how users see data without changing the underlying data or applying reusable rules.
Lookup columns establish relationships between tables by allowing a record in one table to reference a record in another. While they are essential for relational data modeling and enabling relational integrity, lookup columns do not enforce business rules or implement logic without code.
Business rules are the correct choice because they enable no-code automation of validations, field behavior, and other business logic, and can be reused across tables and forms. Unlike field-level security, views, or lookup columns, business rules directly implement logic that governs how data behaves in the Dataverse environment.
Question 153:
Which Power Apps control allows users to select a single value from a list?
A) Dropdown
B) Gallery
C) Label
D) Timer
Answer: A) Dropdown
Explanation:
Dropdown controls in Power Apps allow users to select exactly one value from a predefined set of options. The dropdown is ideal for situations where a single selection is needed, such as choosing a country, department, or status. The selected value can then trigger other actions or be stored in the database. Dropdowns simplify data entry, reduce errors, and ensure that input is constrained to valid choices.
Galleries are used to display a list or collection of records from a data source, such as a table or collection. They can present multiple items and allow interaction, such as selecting or editing records, but they do not constrain users to a single predefined choice. Galleries are primarily for visualizing and interacting with data sets rather than collecting a single input value.
Labels are simple display elements that show text on a screen. They do not allow user interaction or selection and are used for providing information, instructions, or feedback to users. Labels cannot be used for selecting a value from a list because they are non-interactive by design.
Timers are controls that trigger actions after a specified time interval. While useful for automation or delayed events within an app, timers do not allow data selection from a list. Their purpose is entirely different from dropdowns, focusing on scheduling events rather than capturing user input.
Dropdown is the correct choice because it directly allows users to select a single value from a predefined set. It is the only option designed for constrained user input among the four controls.
Question 154:
Which Power Automate flow type runs based on a manual trigger?
A) Instant flow
B) Automated flow
C) Scheduled flow
D) Desktop flow
Answer: A) Instant flow
Explanation:
Instant flows in Power Automate are manually triggered by a user, typically through a button in the web or mobile interface. These flows are useful when an immediate action is required, such as sending an approval request, updating a record, or performing a one-time task. They provide flexibility because the user controls when the flow runs, making them ideal for ad-hoc operations.
Automated flows run based on events, such as when a new email arrives or a file is created in OneDrive. While powerful for automatic responses, they do not run on demand and cannot be manually triggered. Automated flows are event-driven, designed for background operations rather than immediate manual execution.
Scheduled flows execute on a pre-defined schedule, such as daily, weekly, or hourly. They are not event-driven or manually triggered, and they run independently of user input. Scheduled flows are ideal for recurring processes like data refresh or batch notifications but are not suitable for on-demand tasks.
Desktop flows are designed for robotic process automation (RPA) on local computers. They automate desktop tasks such as interacting with legacy systems, applications, or websites. While they can be triggered manually or on schedule, their primary function is desktop automation rather than general Power Automate flow management.
The correct answer is instant flow because it is the only flow type that runs immediately when a user initiates it manually. Other flow types are either event-driven, scheduled, or desktop-specific, making instant flows uniquely suitable for manual triggers.
Question 155:
Which AI Builder model extracts structured information from documents?
A) Form processing
B) Prediction
C) Object detection
D) Category classification
Answer: A) Form processing
Explanation:
Form processing in AI Builder is designed to extract structured data from documents such as invoices, receipts, or forms. It identifies key-value pairs, tables, and text fields, converting unstructured or semi-structured documents into usable data. This model reduces manual data entry and increases accuracy in scenarios where large volumes of documents need to be processed, providing a scalable and efficient solution for document handling.
Prediction models in AI Builder are used to forecast outcomes based on historical data. They can predict trends, classify records, or score future events, but they do not extract information from document content. Prediction models are analytical in nature and focus on deriving insights rather than transforming document data into structured records.
Object detection models are used for identifying and locating items in images or videos. They can recognize objects, count occurrences, or trigger actions based on visual input. However, object detection has no capability to parse or extract structured data from textual documents or forms.
Category classification models organize text into predefined categories or topics. They are useful for sorting emails, tagging documents, or categorizing customer feedback, but they do not extract fields, tables, or specific structured information from documents.
Form processing is the correct answer because it is specifically designed to extract structured content from documents. Unlike prediction, object detection, or category classification, form processing transforms unstructured document data into actionable records, making it the appropriate choice for this requirement.
Question 156:
Which Power BI visual displays progress toward a specific goal?
A) Gauge
B) Line chart
C) Card
D) Matrix
Answer: A) Gauge
Explanation:
The gauge visual in Power BI is specifically designed to show how a particular value or metric is progressing toward a defined target. It is typically represented as a circular or semicircular dial where the needle or pointer indicates the current value, while the background shows the minimum, maximum, and target ranges. This makes it very effective for dashboards where stakeholders need to quickly see performance against key metrics, such as sales goals, revenue targets, or project milestones. The gauge visual provides an immediate visual representation of progress, allowing users to interpret success or areas needing attention at a glance.
Line charts, on the other hand, are designed to display trends over time. They plot data points along a continuous axis, usually time, and connect them with a line to visualize patterns, growth, or fluctuations. While line charts can show trends related to progress, they do not explicitly indicate a goal or target in the same way a gauge does. Line charts are better suited for showing performance trends over days, months, or years, rather than current status against a fixed objective.
Cards in Power BI are used to display single numbers or summary metrics. For example, a card could show the total sales for the current quarter, the number of active users, or the profit margin. Cards are excellent for highlighting individual key performance indicators but do not provide a visual scale or a sense of progress toward a goal. They are static representations of single values, without contextual comparison against a target or range.
Matrices, also known as table visuals, organize hierarchical data into rows and columns, allowing users to drill down into detailed information. While matrices are powerful for displaying and analyzing structured datasets, they are not meant to visually show progress toward goals. They are primarily used for comparison and detailed reporting rather than high-level performance tracking.
The gauge visual is the correct choice because it combines a clear, immediate visual of current performance with a comparison against a target. Unlike line charts, which show trends, or cards, which show single values, the gauge communicates progress toward a goal in a single glance, making it ideal for performance dashboards where quick assessment is crucial.
Question 157:
Which Power Apps feature allows embedding AI models for automated predictions?
A) AI Builder
B) Canvas controls
C) Flow button
D) Dataflow
Answer: A) AI Builder
Explanation:
AI Builder in Power Apps is a feature that allows users to embed artificial intelligence models directly into their apps without requiring advanced coding skills. It supports a range of AI capabilities, including prediction, object detection, form processing, and text classification. By integrating AI models, users can automate processes such as predicting customer churn, analyzing survey responses, or detecting anomalies in data. AI Builder makes AI accessible within the Power Platform, enabling app creators to enhance functionality and intelligence in their apps.
Canvas controls refer to the user interface elements available in Power Apps, such as buttons, text inputs, dropdowns, and galleries. These controls are essential for building interactive applications and shaping how users interact with data, but they do not provide AI capabilities or predictive insights. They focus on UI design and user interaction rather than analytics or automation through AI.
The Flow button is associated with Power Automate and is used to trigger workflows manually. While it can initiate actions, connect apps, or automate repetitive tasks, it does not embed AI functionality or enable predictive modeling. The Flow button’s main purpose is to execute workflows, not analyze or predict outcomes.
Dataflows are used in Power Platform to extract, transform, and load data into Dataverse or other storage solutions. They are excellent for preparing, cleaning, and organizing large datasets for analysis or reporting, but they do not provide AI prediction capabilities on their own. Dataflows focus on data preparation, whereas AI Builder focuses on intelligent automation and decision-making.
AI Builder is the correct answer because it specifically enables the integration of AI models for automated predictions and insights within Power Apps. Canvas controls, Flow buttons, and dataflows, while important, serve different roles in the Power Platform ecosystem and do not provide predictive AI capabilities.
Question 158:
Which Dataverse feature allows defining access permissions for individual fields in a table?
A) Field-level security
B) Business rules
C) Views
D) Choice columns
Answer: A) Field-level security
Explanation:
Field-level security in Dataverse allows administrators to control access to specific columns within a table. This means that certain users or teams can be restricted from viewing or editing sensitive information, such as salary, personal identification numbers, or confidential notes, while still having access to the rest of the record. Field-level security is critical for compliance, privacy, and ensuring that sensitive data is only available to authorized users. It works by assigning security profiles to users, which define read, write, and create permissions for individual fields.
Business rules in Dataverse allow automation of logic at the data level. They can enforce validation, set default values, or trigger actions based on conditions. While business rules help maintain data consistency and enforce business logic, they do not restrict access to specific fields for particular users. They focus on controlling data behavior rather than security.
Views are ways to present filtered and organized sets of data from tables. They define what records users can see based on criteria or relationships and are often used in model-driven apps to streamline navigation. Views control visibility of records as a whole but do not allow granular security control over individual fields within a record.
Choice columns are used to define a set of predefined options for a column. They are ideal for standardizing input values, such as statuses or categories. While choice columns ensure data consistency, they do not manage permissions or control access to information within the table.
Field-level security is the correct option because it specifically addresses the need to define access permissions for individual fields. Business rules, views, and choice columns have important roles in data integrity and presentation but do not provide user-specific access control at the column level.
Question 159:
Which Power Automate component evaluates conditions and executes actions based on true or false outcomes?
A) Condition control
B) Scope
C) Parallel branch
D) Apply to each
Answer: A) Condition control
Explanation:
The condition control in Power Automate is used to evaluate logical statements and determine which path a workflow should follow based on whether the statement is true or false. It allows creators to branch their flows, execute specific actions when conditions are met, and handle exceptions or alternative scenarios effectively. Conditions are essential in automation for decisions such as whether to send a notification, update a record, or trigger further processes based on the data.
Scope is a control that groups multiple actions together in a logical container. While it allows for organization and error handling within flows, it does not inherently evaluate conditions or control the execution path. Scope is used for structure and visibility in complex workflows, not decision-making.
Parallel branch enables multiple sets of actions to run simultaneously within a workflow. It is useful for optimizing performance and performing tasks concurrently, but it does not evaluate any logical conditions. Parallel branches operate in parallel rather than making decisions based on data.
Apply to each iterates over a collection of items, executing actions for each item individually. It is important for loops and repetitive processing but is not designed for evaluating true/false conditions to control the flow path. It processes every element in the collection sequentially.
The condition control is correct because it directly addresses the requirement of evaluating a logical statement and branching actions based on outcomes. Scope, parallel branch, and apply to each serve organizational, concurrent, or iterative purposes, but they do not inherently perform conditional evaluation.
Question 160:
Which Power Apps control displays multiple items from a data source in a scrollable list?
A) Gallery
B) Form
C) Label
D) Button
Answer: A) Gallery
Explanation:
The gallery control in Power Apps is designed to display multiple records from a data source in a scrollable, interactive layout. Galleries allow users to view, select, and interact with several records at once, making them ideal for dashboards, lists, and catalogs. They support customization of templates and layouts, allowing developers to tailor how data is presented, including images, text, and icons, for enhanced usability and user experience.
Forms in Power Apps are used primarily to view, edit, or create a single record at a time. They are structured to capture or display detailed information about one entity, making them unsuitable for displaying multiple items simultaneously. Forms focus on detailed data interaction rather than aggregate browsing.
Labels are basic text elements used to display static or dynamic information on a screen. While labels can show data from a single field or calculated expression, they cannot display multiple records from a collection. Labels are informational rather than interactive lists.
Buttons are used to trigger actions, such as navigating screens, submitting data, or initiating flows. Buttons provide interactivity but do not display data from a source. They are action-oriented controls rather than data display controls.
Gallery is the correct answer because it is specifically intended to display multiple items from a data source in a scrollable, customizable layout. Forms, labels, and buttons serve specific purposes in user interaction but are not suited for listing multiple records.
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