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Question 730
A SIEM combines authentications from a VPN and an identity provider with differing schemas. In this extended practice exercise, which THREE statements about the required Splunk behavior are correct? Choose THREE.
- Assume CIM is a process that automatically reindexes every device log with perfect names
- Validate representative normalized events from each source before aggregating them
- Use a vendor tag to convert every unknown field into the correct CIM attribute automatically
- Check that mapped fields have equivalent semantics, not just similar spellings
- Map source-specific fields to the expected CIM field names for consistent searches
- Treat normalization as a claim that all original vendor-specific raw messages become identical
Explanation
Correct Answers
B:Multiple technologies need per-source evidence.
D:A wrong meaning creates false cross-source comparisons.
E:CIM provides common meaning across data sources.
Incorrect Answers
A:Normalization depends on configured knowledge objects.
C:Tags alone do not create field mappings.
F:CIM standardizes interpretation, not raw content.
Question 731
A network data source has normalized fields but its events do not appear in a CIM dataset. Which Splunk approach is technically appropriate for this need?
- Treat a missing Pivot row as proof no relevant events were ingested
- Apply all possible tags to every event to maximize coverage
- Inspect the CIM data model's required event tags and constraints
- Assume correct field aliases guarantee membership in every CIM dataset without tags
Explanation
Correct Answer
C:Tags can gate dataset membership.
Incorrect Answers
A:Wrong tags or constraints can hide existing events.
B:Overtagging pollutes model populations.
D:Some models require specific tags.
Question 732
A network data source has normalized fields but its events do not appear in a CIM dataset. Which implementation detail accurately describes the required behavior?
- Verify the relevant event types actually match the source records
- Ignore the source's event type classification when validating model membership
- Apply all possible tags to every event to maximize coverage
- Treat a missing Pivot row as proof no relevant events were ingested
Explanation
Correct Answer
A:Tagging relies on correct classification.
Incorrect Answers
B:Event types may supply required tags.
C:Overtagging pollutes model populations.
D:Wrong tags or constraints can hide existing events.
Question 733
A network data source has normalized fields but its events do not appear in a CIM dataset. Which validation or design decision would make the result reliable?
- Assume correct field aliases guarantee membership in every CIM dataset without tags
- Apply all possible tags to every event to maximize coverage
- Test the configured tags in ordinary searches before blaming the data model
- Ignore the source's event type classification when validating model membership
Explanation
Correct Answer
C:A direct query isolates classification errors.
Incorrect Answers
A:Some models require specific tags.
B:Overtagging pollutes model populations.
D:Event types may supply required tags.
Question 734
A network data source has normalized fields but its events do not appear in a CIM dataset. Which explanation best preserves the intended data meaning or control?
- Ignore the source's event type classification when validating model membership
- Check required fields as well as tags to make the mapping useful
- Treat a missing Pivot row as proof no relevant events were ingested
- Assume correct field aliases guarantee membership in every CIM dataset without tags
Explanation
Correct Answer
B:Membership and analysis often need both classification and attributes.
Incorrect Answers
A:Event types may supply required tags.
C:Wrong tags or constraints can hide existing events.
D:Some models require specific tags.
Question 735
A network data source has normalized fields but its events do not appear in a CIM dataset. In this extended practice exercise, which TWO statements about the required Splunk behavior are correct? Choose TWO.
- Test the configured tags in ordinary searches before blaming the data model
- Apply all possible tags to every event to maximize coverage
- Inspect the CIM data model's required event tags and constraints
- Ignore the source's event type classification when validating model membership
- Treat a missing Pivot row as proof no relevant events were ingested
Explanation
Correct Answers
A:A direct query isolates classification errors.
C:Tags can gate dataset membership.
Incorrect Answers
B:Overtagging pollutes model populations.
D:Event types may supply required tags.
E:Wrong tags or constraints can hide existing events.
Question 736
A VPN data source has clear login fields yet a related security CIM Pivot is empty. Which Splunk approach is technically appropriate for this need?
- Verify the relevant event types actually match the source records, but apply all possible tags to every event to maximize coverage
- Inspect the CIM data model's required event tags and constraints, but treat a missing Pivot row as proof no relevant events were ingested
- Test the configured tags in ordinary searches before blaming the data model, but ignore the source's event type classification when validating model membership
- Inspect the CIM data model's required event tags and constraints, and verify the relevant event types actually match the source records
Explanation
Correct Answer
D:The two controls work together: Tags can gate dataset membership. Tagging relies on correct classification.
Incorrect Answers
A:The first clause can be sound, but the second is not: Overtagging pollutes model populations.
B:The first clause can be sound, but the second is not: Wrong tags or constraints can hide existing events.
C:The first clause can be sound, but the second is not: Event types may supply required tags.
Question 737
A VPN data source has clear login fields yet a related security CIM Pivot is empty. Which implementation detail accurately describes the required behavior?
- Verify the relevant event types actually match the source records, but apply all possible tags to every event to maximize coverage
- Test the configured tags in ordinary searches before blaming the data model, but ignore the source's event type classification when validating model membership
- Verify the relevant event types actually match the source records, and test the configured tags in ordinary searches before blaming the data model
- Check required fields as well as tags to make the mapping useful, but assume correct field aliases guarantee membership in every CIM dataset without tags
Explanation
Correct Answer
C:The two controls work together: Tagging relies on correct classification. A direct query isolates classification errors.
Incorrect Answers
A:The first clause can be sound, but the second is not: Overtagging pollutes model populations.
B:The first clause can be sound, but the second is not: Event types may supply required tags.
D:The first clause can be sound, but the second is not: Some models require specific tags.
Question 738
A VPN data source has clear login fields yet a related security CIM Pivot is empty. Which validation or design decision would make the result reliable?
- Check required fields as well as tags to make the mapping useful, but assume correct field aliases guarantee membership in every CIM dataset without tags
- Test the configured tags in ordinary searches before blaming the data model, but ignore the source's event type classification when validating model membership
- Inspect the CIM data model's required event tags and constraints, but treat a missing Pivot row as proof no relevant events were ingested
- Test the configured tags in ordinary searches before blaming the data model, and check required fields as well as tags to make the mapping useful
Explanation
Correct Answer
D:The two controls work together: A direct query isolates classification errors. Membership and analysis often need both classification and attributes.
Incorrect Answers
A:The first clause can be sound, but the second is not: Some models require specific tags.
B:The first clause can be sound, but the second is not: Event types may supply required tags.
C:The first clause can be sound, but the second is not: Wrong tags or constraints can hide existing events.
Question 739
A VPN data source has clear login fields yet a related security CIM Pivot is empty. Which explanation best preserves the intended data meaning or control?
- Check required fields as well as tags to make the mapping useful, but assume correct field aliases guarantee membership in every CIM dataset without tags
- Verify the relevant event types actually match the source records, but apply all possible tags to every event to maximize coverage
- Check required fields as well as tags to make the mapping useful, and inspect the CIM data model's required event tags and constraints
- Inspect the CIM data model's required event tags and constraints, but treat a missing Pivot row as proof no relevant events were ingested
Explanation
Correct Answer
C:The two controls work together: Membership and analysis often need both classification and attributes. Tags can gate dataset membership.
Incorrect Answers
A:The first clause can be sound, but the second is not: Some models require specific tags.
B:The first clause can be sound, but the second is not: Overtagging pollutes model populations.
D:The first clause can be sound, but the second is not: Wrong tags or constraints can hide existing events.
Question 740
A VPN data source has clear login fields yet a related security CIM Pivot is empty. In this extended practice exercise, which THREE statements about the required Splunk behavior are correct? Choose THREE.
- Ignore the source's event type classification when validating model membership
- Assume correct field aliases guarantee membership in every CIM dataset without tags
- Check required fields as well as tags to make the mapping useful
- Verify the relevant event types actually match the source records
- Apply all possible tags to every event to maximize coverage
- Inspect the CIM data model's required event tags and constraints
Explanation
Correct Answers
C:Membership and analysis often need both classification and attributes.
D:Tagging relies on correct classification.
F:Tags can gate dataset membership.
Incorrect Answers
A:Event types may supply required tags.
B:Some models require specific tags.
E:Overtagging pollutes model populations.
Splunk Core Certified Power User (SPLK-1002) Practice Tests
