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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Virtual Warehouses	20%	- Virtual warehouse creation and management - Warehouse sizing and scaling - Warehouse performance optimization - Resource monitors
Topic 2: Data Management	20%	- Database object management - Data loading and unloading - Data sharing and replication - Time Travel and Fail-safe
Topic 3: Data Protection and Disaster Recovery	15%	- Disaster recovery planning - Backup and restore procedures - Snowflake Marketplace - Data replication
Topic 4: Performance and Monitoring	20%	- Query performance optimization - Resource monitoring and management - Query history and profiling - Clustering keys
Topic 5: Account Management and Security	25%	- Role-Based Access Control (RBAC) - Account management and billing - User management and authentication - Security and governance management

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q15-Q20):

NEW QUESTION # 15
When does auto-suspend occur for a multi-cluster virtual warehouse?

A. Auto-suspend does not apply for multi-cluster warehouses.
B. After a specified period of time when an additional cluster has started on the maximum number of clusters specified for a warehouse.
C. When there has been no activity on any cluster for the specified period of time.
D. When the minimum number of clusters is running and there is no activity for the specified period of time.

Answer: D

Explanation:
For a multi-cluster virtual warehouse, auto-suspend only triggers when the minimum number of clusters is running and there has been no activity for the specified period. Additional clusters above the minimum scale back down automatically, but suspension of the entire warehouse occurs only when the base minimum is idle.

NEW QUESTION # 16
A Snowflake Administrator wants to create a virtual warehouse that supports several dashboards, issuing various queries on the same database.
For this warehouse, why should the Administrator consider setting AUTO_SUSPEND to 0 or NULL?

A. To keep the query result cache warm for good performance on repeated queries
B. To keep the data cache warm to support good performance of similar queries
C. To save costs by running the warehouse as little as possible
D. To save costs on warehouse shutdowns and startups for different queries

Answer: B

Explanation:
Setting AUTO_SUSPEND to 0 or NULL prevents the warehouse from suspending, which keeps the data cache warm. This improves performance for dashboards and workloads that frequently run similar queries, since the warehouse avoids cache loss from suspending and resuming.

NEW QUESTION # 17
What is required for stages, without credentials, to limit data exfiltration after a storage Integration and associated stages are created?

A. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = true;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = true;
B. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = true;
C. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = true;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = false;
D. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = false;

Answer: A

Explanation:
To prevent data exfiltration, Snowflake requires storage integrations for both stage creation and stage operations, ensuring that unmanaged external locations cannot be used. Additionally, setting PREVENT_UNLOAD_TO_INLINE_URL = true blocks unloading directly to unsecured inline URLs. This configuration enforces secure stage usage tied to storage integrations.

NEW QUESTION # 18
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. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
C. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
D. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
E. 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.

Answer: C,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 # 19
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?

A. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
B. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
C. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
D. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
OBJECT_CONSTRUCT(*)
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));

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 # 20
......

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