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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Objectives
Data Loading and Unloading	- Bulk and continuous data ingestion 1. Stages and file formats 2. COPY INTO operations
Account and Resource Administration	- Account configuration and management 1. Resource monitors and governance basics 2. Users, roles, and permissions
Snowflake Architecture and Virtual Warehouses	- Snowflake architecture concepts 1. Virtual warehouse usage and scaling 2. Separation of storage and compute
Performance and Monitoring	- Performance tuning and optimization 1. Query performance analysis 2. Warehouse sizing and scaling strategies
Security and Access Control	- Authentication and authorization 1. Role-based access control (RBAC) 2. Network policies and secure access
Data Protection and Recovery	- Backup and recovery mechanisms 1. Cloning and data recovery strategies 2. Time Travel and Fail-safe concepts

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q22-Q27):

NEW QUESTION # 22
An Administrator has a user who needs to be able to suspend and resume a task based on the current virtual warehouse load, but this user should not be able to modify the task or start a new run.
What privileges should be granted to the user to meet these requirements? (Choose two.)

A. USAGE on the database and schema containing the task
B. OPERATE on the task
C. OWNERSHIP on the database and schema containing the task
D. EXECUTE TASK on the task
E. OWNERSHIP on the task

Answer: A,B

Explanation:
To suspend and resume a task, the user needs the OPERATE privilege on the task. Additionally, USAGE on the database and schema containing the task is required to access it. Granting these together allows control of task state without giving modification or ownership rights.

NEW QUESTION # 23
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Choose three.)

A. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);
B. SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
C. SELECT * FROM my_table WITH TIME TRAVEL(OFFSET => -60*30);
D. SELECT * FROM my_table AT(OFFSET => -60*30);
E. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
F. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);

Answer: B,D,F

Explanation:
Use Time Travel to view past table versions: (B) selects the table "as of" 07:00 via AT(TIMESTAMP => ...); (E) selects "as of" 30 minutes earlier via AT(OFFSET => -60*30); (F) selects the state before the specified statement via BEFORE(STATEMENT => '<query_id>').

NEW QUESTION # 24
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?

A. There should be another 2XL warehouse deployed to handle a portion of the load queries.
B. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
C. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
D. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.

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 # 25
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. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own 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 be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
D. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
E. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).

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 # 26
What session parameter can be used to test the integrity of secure views based on the account that is accessing that view?

A. TEST ACCOUNT ID
B. PRODUCER TEST ACCT
C. SIMULATED DATA SHARING CONSUMER
D. MIMIC CONSUMER ACCOUNT

Answer: D

Explanation:
The session parameter MIMIC_CONSUMER_ACCOUNT allows a data provider to test how secure views will appear to a specific consumer account. This ensures the integrity and correctness of secure views before they are shared.

NEW QUESTION # 27
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