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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Account Management and Data Governance: This section of the exam measures the skills of Data Governance Managers and Database Administrators and covers account organization, access control, and regulatory data protection. Candidates will learn how to manage organizational accounts, encryption keys, and Tri-Secret Secure implementations. It focuses on applying best practices in ORGADMIN and ACCOUNTADMIN roles, implementing masking and row access policies, and performing data classification and tagging. The domain also emphasizes data auditing, account identifiers, and effective management of tables, views, and query operations to support enterprise-wide governance standards.
Topic 2	Performance Monitoring and Tuning: This section of the exam measures the skills of Cloud Infrastructure Engineers and Performance Analysts and focuses on optimizing Snowflake compute and storage resources. Candidates will need to understand how to configure and manage virtual warehouses, evaluate query profiles, and apply caching and clustering strategies for performance tuning. It also includes monitoring concurrency, resource utilization, and implementing cost optimization strategies. The ability to interpret, explain plans, apply search optimization, and manage cost controls is key for maintaining efficient Snowflake environments.
Topic 3	Disaster Recovery, Backup, and Data Replication: This section of the exam measures the skills of Disaster Recovery Engineers and Cloud Operations Managers and covers Snowflake methods for ensuring business continuity. Candidates must understand how to replicate databases and account-level objects, implement failover strategies, and perform backup and restoration through Time Travel and Fail-safe features. The domain emphasizes replication across accounts, handling data consistency during failover, and applying cost-efficient disaster recovery strategies to maintain availability during outages or regional failures.
Topic 4	Data Sharing, Data Exchange, and Snowflake Marketplace: This section of the exam measures the skills of Data Integration Specialists and Data Platform Administrators and covers managing and implementing data-sharing solutions within Snowflake. It evaluates understanding of data sharing models across regions and clouds, secure data sharing methods, and managing provider-consumer relationships. The domain also includes the use of Snowflake Data Exchange and Marketplace to publish, consume, and manage data listings, ensuring secure collaboration and efficient data monetization.
Topic 5	Snowflake Security, Role-Based Access Control (RBAC), and User Administration: This section of the exam measures the skills of Snowflake Administrators and Cloud Security Engineers and covers authentication, access control, and network management in Snowflake. Candidates must understand how to configure authentication methods such as SSO, MFA, OAuth, and key-pair authentication, and how to manage network policies and private connectivity. The domain also tests knowledge of user and role management using SCIM, designing access control architecture, and applying the RBAC framework to ensure secure user authorization and data protection within Snowflake environments.

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Snowflake SnowPro Advanced Administrator Sample Questions (Q49-Q54):

NEW QUESTION # 49
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? (Select TWO).

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

Answer: C,D

Explanation:
Explanation
The user needs the OPERATE privilege on the task to suspend and resume it, and the USAGE privilege on the database and schema containing the task to access it1. The EXECUTE TASK privilege is not required for suspending and resuming a task, only for triggering a new run1. The OWNERSHIP privilege on the task or the database and schema would allow the user to modify or drop the task, which is not desired.

NEW QUESTION # 50
An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.
The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.
Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

A. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.
B. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
C. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
D. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.

Answer: D

Explanation:
Explanation
The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.

NEW QUESTION # 51
A company's Snowflake account has multiple roles. Each role should have access only to data that resides in the given role's specific region.
When creating a row access policy, which code snippet below will provide privileges to the role ALL_ACCESS_ROLE to see all rows regardless of region, while the other roles can only see rows for their own regions?

A. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS ROLE' = current_role ()
)
B. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL_ACCESS_ROLE' = current_role ()
or exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
)
C. create or replace row access policy region policy as (region_value varchar) returns boolean -> exists ( select 1 from entitlement_table where role = current_role () and region = region_value )
D. create or replace row access policy region policy as (region_value varchar) returns boolean ->
'ALL ACCESS_ROLE' = current_role ()
and exists (
select 1 from entitlement_table
where role = current_role ()
and region = region_value
)

Answer: B

Explanation:
Explanation
This code snippet will create a row access policy that returns true if the current role is ALL_ACCESS_ROLE or if the current role matches the region value in the entitlement_table. This means that the ALL_ACCESS_ROLE can see all rows regardless of region, while the other roles can only see rows for their own regions. According to the Snowflake documentation, the CURRENT_ROLE context function returns the name of the current role for the session. The EXISTS function returns true if the subquery returns any rows.
The OR operator returns true if either operand is true. Therefore, this code snippet satisfies the requirements of the question.

NEW QUESTION # 52
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? (Select THREE).

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

Answer: A,E,F

Explanation:
According to the AT | BEFORE documentation, the AT or BEFORE clause is used for Snowflake Time Travel, which allows you to query historical data from a table based on a specific point in the past. The clause can use one of the following parameters to pinpoint the exact historical data you wish to access:
* TIMESTAMP: Specifies an exact date and time to use for Time Travel.
* OFFSET: Specifies the difference in seconds from the current time to use for Time Travel.
* STATEMENT: Specifies the query ID of a statement to use as the reference point for Time Travel.
Therefore, the queries that will allow the user to view the historical data that was in the table before the query was executed are:
* B. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp); This query uses the TIMESTAMP parameter to specify a point in time that is before the query execution time of 07:01.
* D. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'; This query uses the PRIOR TO STATEMENT keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
* F. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'); This query uses the BEFORE keyword and the STATEMENT parameter to specify a point in time that is immediately preceding the query execution time of 07:01.
The other queries are incorrect because:
* A. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30); This query uses the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is after the query execution time of 07:01, so it will not show the historical data before the query was executed.
* C. SELECT * FROM TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00); This query is not valid syntax for Time Travel. The TIME_TRAVEL function does not exist in Snowflake. The correct syntax is to use the AT or BEFORE clause after the table name in the FROM clause.
* E. SELECT * FROM my_table AT (OFFSET => -60*30); This query uses the AT keyword and the OFFSET parameter to specify a point in time that is 30 minutes before the current time, which is 07:30. This is equal to the query execution time of 07:01, so it will not show the historical data before the query was executed. The AT keyword specifies that the request is inclusive of any changes made by a statement or transaction with timestamp equal to the specified parameter. To exclude the changes made by the query, the BEFORE keyword should be used instead.

NEW QUESTION # 53
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in Database A. Schema1.
The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Select TWO).

A. SELECT on all tables and views in DatabaseA_clone. Schema1
B. USAGE on the schema DatabaseA clone
C. SELECT on all tables, and only non-secure views in DatabaseA_clone. Schemal
D. USAGE on the database DatabaseA_clone. Schemal
E. SELECT on all tables, and only secure views in DatabaseA_clone. Schemal

Answer: A,C

Explanation:
According to the Snowflake documentation, when a database or schema is cloned, the clone inherits all granted privileges on the clones of all child objects contained in the source object, such as tables and views. However, the clone of the container itself does not inherit the privileges granted on the source container. Therefore, the ANALYST role will have SELECT privilege on all tables and views in DatabaseA_clone.Schema1, but not USAGE privilege on the database or schema. The type of view (secure or non-secure) does not affect the cloning of privileges.

NEW QUESTION # 54
......

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