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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q52-Q57):

NEW QUESTION # 52
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: B,E

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 # 53
A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA. The company's time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

Answer: D

Explanation:
In Snowflake replication, Time Travel retention is determined by the primary database and is replicated to the secondary. The secondary cannot have a longer retention than the primary. To extend retention to 60 days on the secondary, the primary database’s retention must be increased to 60 days.


NEW QUESTION # 54
A Snowflake Administrator has a multi-cluster virtual warehouse and is using the Snowflake Business-Critical edition. The minimum number of clusters is set to 2 and the maximum number of clusters is set to 10. This configuration works well for the standard workload, rarely exceeding 5 running clusters. However, once a month the Administrator notes that there are a few complex long-running queries that are causing increased queue time and the warehouse reaches its maximum limit at 10 clusters.
Which solutions will address the issues happening once a month? (Choose two.)

Answer: B,E

Explanation:
The best way to handle the once-a-month complex workload is to use a separate, appropriately-sized warehouse dedicated to that workload and to optimize the complex queries with techniques like clustering keys or materialized views. These approaches resolve queueing and performance issues without overspending on always running more clusters.


NEW QUESTION # 55
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTS rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTS that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

Answer: C

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.


NEW QUESTION # 56
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool. The Administrator has noticed that the ANALYST users keep two small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

Answer: A

Explanation:
A multi-cluster warehouse with MIN_CLUSTERS = 2 matches typical usage, while auto-suspend and auto-resume ensure resources are only used when needed. Allowing auto-scaling handles peak periods efficiently, and giving USAGE (not MANAGE) to ANALYST users is secure and appropriate.


NEW QUESTION # 57
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