DP-201: Designing an Azure Data Solution

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Name of Video	Time
1. Learning Objectives	2:00
2. Data Types	12:00
3. Data Storage Types	18:00
4. Select Azure Store for application	4:00
5. Azure Data Platform Architecture	6:00
6. Design and Troubleshoot Partition Distribution type	6:00
7. Learning Outcome and Checklist	3:00

Name of Video	Time
1. Learning Objectives	3:00
2. What is partitioning and partition key	6:00
3. Dedicated vs Shared throughput	7:00
4. Avoiding hot partition	5:00
5. Single partition vs Cross partition	4:00
6. Composite Key	3:00
7. Partition key best practice	8:00
8. Globally Distribution	13:00
9. Multi Master	9:00
10. Manual vs Automatics Failover	8:00
11. Throughput and request units	9:00
12. Cosmos DB - 5 consistent levels	14:00
13. Cosmos DB Multi Model 5 APIs	12:00
14. How Data Lake Gen 2 Evolved?	5:00
15. Data Lake vs Blob	5:00
16. High Availability vs Disaster Recovery	7:00
17. RTO and RPO	4:00
18. Azure Storage - HA and DR Options	12:00
19. Cosmos DB - HA and DR Options	17:00
20. Scenarios - Designing a solution for CosmosDB vs Data Lake vs Blob Storage	10:00
21. Learning Outcome and Checklist	3:00

Name of Video	Time
1. Learning Objectives	4:00
2. Purchasing models and Service Tier	13:00
3. Storage and Sharding patterns	5:00
4. Data Distribution and Distributing Keys	6:00
5. Data Types and Table Types	5:00
6. Partitioning	5:00
7. Scaling Azure Database	11:00
8. Scaling Azure Datawarehouse	3:00
9. Azure SQL Database High Availability and Disaster Recovery options	29:00
10. Azure SQL Database Backup and Restore	19:00
11. Azure SQL Datawarehouse Backup and Restore	11:00
12. Azure SQL Database vs Data Warehouse	3:00
13. Scenarios - Designing for SQL Database vs Data warehouse	6:00
14. Learning Outcome and Checklist	6:00

Name of Video	Time
1. Learning Objectives	4:00
2. Design Batch Processing Solutions using Data Factory and DataBricks	17:00
3. Data Ingestion Methods	13:00
4. Tools to Ingest Data	11:00
5. Ingest using Portal and SE	9:00
6. Demo: Ingest Data using azcopy	6:00
7. Demo: Blob to Gen 2	9:00
8. Demo: SQL Server to Gen2	14:00
9. Demo: Amazon S3 to Gen2	8:00
10. Learning Outcome and Checklist	3:00

Name of Video	Time
1. Learning Objectives	2:00
2. Real Time Processing	12:00
3. Azure Streaming Analytics Service	6:00
4. Streaming Analytics - What is time windowing	2:00
5. Tumbling Window	3:00
6. Hopping Window	2:00
7. Sliding Window	2:00
8. Session Window	6:00
9. Design and Provision Compute Resources	9:00
10. Lambda Architecture	10:00
11. Learning Outcome and Checklist	4:00

Name of Video	Time
1. Learning Objectives	2:00
2. Plan for Secure Endpoints (Public/Private)	7:00
3. Access Keys	3:00
4. Shared Access Signature (SAS)	7:00
5. Active Directory (Azure AD)	5:00
6. Role Based Access Control (RBAC)	6:00
7. Learning Outcome and Checklist	2:00

Name of Video	Time
1. Learning Objectives	2:00
2. Encrypt data at rest and in transit	26:00
3. Data Auditing	4:00
4. Data Masking	21:00
5. Data Privacy and Data Classification	7:00
6. Data Retention and Archiving Strategy	14:00
7. Learning Outcome and Checklist	4:00

File Name	Size	Votes
File Name microsoft.test-king.dp-201.v2021-02-09.by.ben.111q.vce	Size 1.58 MB	Votes 1
File Name microsoft.certkiller.dp-201.v2021-01-06.by.rachid.99q.vce	Size 1.64 MB	Votes 1

DP-201: Designing an Azure Data Solution

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