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| Section | Objectives |
|---|---|
| Topic 1: Performance and Monitoring | - Performance tuning and optimization
|
| Topic 2: Data Loading and Unloading | - Bulk and continuous data ingestion
|
| Topic 3: Account and Resource Administration | - Account configuration and management
|
| Topic 4: Data Protection and Recovery | - Backup and recovery mechanisms
|
| Topic 5: Security and Access Control | - Authentication and authorization
|
| Topic 6: Snowflake Architecture and Virtual Warehouses | - Snowflake architecture concepts
|
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NEW QUESTION # 55
For Snowflake network policies, what will occur when the account level and user level network policies are both defined?
Answer: D
Explanation:
When both account-level and user-level network policies are defined in Snowflake, the user-level policy overrides the account-level policy for that specific user.
NEW QUESTION # 56
An Administrator needs to configure a virtual warehouse in Snowflake for a new use case with these details:
1. There will be 50-100 concurrent users running reports
2. Minimize costs based on the number of active users at a given time
3. The virtual warehouse should suspend and resume automatically based on user activity
Which configuration will meet these requirements?
Answer: B
Explanation:
Supporting 50-100 concurrent users requires a multi-cluster warehouse so compute resources can scale to handle high concurrency. Setting a maximum cluster count allows Snowflake to automatically add clusters when query demand increases and reduce them when demand drops, which helps minimize cost based on active users. Enabling auto_suspend and auto_resume ensures the warehouse automatically stops when idle and restarts when queries arrive, further optimizing cost and operational efficiency.
NEW QUESTION # 57
Which Snowflake objects can be managed using SCIM integration? (Choose two.)
Answer: A,D
Explanation:
SCIM integration in Snowflake is used to manage users and roles for automated provisioning and de-provisioning from external identity providers.
NEW QUESTION # 58
A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous IoT data. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
According to best practices, how should these requirements be met? (Choose two.)
Answer: C,D
Explanation:
To ensure consistent recovery, fact and dimension tables must have the same DATA_RETENTION_TIME_IN_DAYS, so they can be restored to the same point in time.
Cloning the fact and dimension tables together with consistent Time Travel options ensures data integrity and avoids referential mismatches when reverting to a prior state.
NEW QUESTION # 59
A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups. Given a table already exists with the following schema:
Table Name: VWH_META
Column 1: SNAPSHOT_TIME TIMESTAMP_NTZ
Column 2: CONFIG VARIANT
Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH_META?
Answer: D
Explanation:
To persist warehouse configurations in JSON format, the result set from SHOW WAREHOUSES must be captured and converted into a variant object. Using OBJECT_CONSTRUCT(*) with RESULT_SCAN(LAST_QUERY_ID()) stores the full warehouse configuration snapshot as JSON in the CONFIG VARIANT column, along with the timestamp.
NEW QUESTION # 60
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