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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions:

1. 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.)

A) The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
B) The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
C) The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
D) Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
E) Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.

2. 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?

A) Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
B) Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.
C) Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
D) Create four virtual warehouses (sized Small through XL) and set them to auto-suspend and auto-resume. Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.

3. An organization's sales team leverages this Snowflake query a few times a day:
SELECT CUSTOMER_ID, CUSTOMER_NAME, ADDRESS, PHONE_NO
FROM CUSTOMERS
WHERE LAST_UPDATED BETWEEN TO_DATE(CURRENT_TIMESTAMP) AND (TO_DATE(CURRENT_TIMESTAMP)-7);
What can the Snowflake Administrator do to optimize the use of persisted query results whenever possible?

A) Leverage the CURRENT_DATE function for date calculations.
B) Wrap the query in a User-Defined Function (UDF) to match syntax execution.
C) Assign everyone on the sales team to the same virtual warehouse.
D) Assign everyone on the sales team to the same security role.

4. If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

A) No, because the optimizer might decide against it.
B) No, because the materialized view may not be up-to-date.
C) No, because joins are not supported by materialized views.
D) Yes, because materialized views are always faster.

5. Which type of listing in the Snowflake Marketplace can be added and queried immediately?

A) Standard listing
B) Regional listing
C) Monetized listing
D) Personalized listing

Solutions: