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Quiz Snowflake First-grade ADA-C01 - SnowPro Advanced Administrator Reliable Braindumps Sheet

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

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 2

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 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

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.

Topic 5

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.

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Exam Questions For Snowflake ADA-C01 [Revised] - The Best Method To Pass The Exam

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Snowflake SnowPro Advanced Administrator Sample Questions (Q79-Q84):

NEW QUESTION # 79
A resource monitor named MONTHLY_FINANCE_LIMIT has been created and applied to two virtual warehouses (fin_wh1 and fin_wh2) using the following SQL:

Given that the combined total of credits consumed by fin_wh1 and fin_wh2 (including cloud services) has reached 800 credits and both warehouses are suspended, what should the ACCOUNTADMIN execute to allow both warehouses to be resumed? (Select TWO).

A. ALTER RESOURCE MONITOR MONTHLY_FINANCE_LIMIT SET CREDIT_QUOTA = 1500;
B. ALTER WAREHOUSE fin_wh2 UNSET RESOURCE_MONITOR MONTHLY_FINANCE_LIMIT;
C. ALTER WAREHOUSE fin_wh1 RESUME;
D. ALTER WAREHOUSE fin_wh1 UNSET RESOURCE_MONITORS;
E. ALTER WAREHOUSE fin_wh1 UNSET RESOURCE_MONITOR MONTHLY_FINANCE_LIMIT;
F. ALTER WAREHOUSE fin_wh2 RESUME;
G. ALTER RESOURCE MONITOR MONTHLY_FINANCE_LIMIT RESET;

Answer: A,G

Explanation:
❗ Scenario:
Resource Monitor MONTHLY_FINANCE_LIMIT has a credit quota of 1000.
800 credits have been used and warehouses are already suspended.
According to monitor configuration:
At 80%, warehouses are suspended.
At 100%, warehouses would be suspended immediately.
Warehouses cannot resume until the monitor is reset or the quota is increased.
✅ E. SET CREDIT_QUOTA = 1500
Increases the monthly credit limit to 1500.
Since current usage is 800 < 1500, this puts usage below 80%.
This allows resumption of warehouses.
✅ F. RESET
sql
CopyEdit
ALTER RESOURCE MONITOR MONTHLY_FINANCE_LIMIT RESET;
Resets usage to zero for the current period.
Allows warehouses to resume immediately - same effect as a fresh cycle.
❌ Why Other Options Are Incorrect:
A . / B. ALTER WAREHOUSE ... RESUME
Won't work while the resource monitor is actively suspending the warehouses due to limits.
C . / D. UNSET RESOURCE_MONITOR
You can't remove a resource monitor from a warehouse while it is currently suspended by that same monitor.
You must first reset or adjust the monitor.
G . UNSET RESOURCE_MONITORS
Invalid syntax - there's no RESOURCE_MONITORS plural keyword.
SnowPro Administrator Reference:
Resource Monitors Overview
ALTER RESOURCE MONITOR
Best Practices for Controlling Warehouse Credit Usage

NEW QUESTION # 80
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 TIME_TRAVEL ('MY_TABLE', 2021-01-01 07:00:00);
B. SELECT * FROM my_table AT (OFFSET => -60*30);
C. SELECT * FROM my table WITH TIME_TRAVEL (OFFSET => -60*30);
D. SELECT * FROM my_table BEFORE (STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
E. SELECT * FROM my_table AT (TIMESTAMP => '2021-01-01 07:00:00' :: timestamp);
F. SELECT * FROM my table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';

Answer: D,E,F

Explanation:
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 # 81
Which command can temporarily disable Multi-factor Authentication (MFA) for the Snowflake username user1 for 24 hours?

A. alter user userl set TEMPORARY_MFA_BYPASS=1440;
B. alter user userl set DISABLE_MFA=1440;
C. alter user userl set HOURS_TO_BYPASS_MFA=24;
D. alter user userl set MINS_TO_BYPASS_MFA=1440;

Answer: D

Explanation:
According to the Snowflake documentation1, the MINS_TO_BYPASS_MFA property specifies the number of minutes to temporarily disable MFA for a user so that they can log in without the temporary token generated by the Duo Mobile application. After the time passes, MFA is enforced and the user cannot log in without the token. Therefore, to disable MFA for 24 hours, the value of this property should be set to 1440 minutes (24 x 60). Option B is incorrect because the DISABLE_MFA property is a boolean value that permanently disables MFA for a user, not a numeric value that specifies the duration. Option C is incorrect because there is no such property as TEMPORARY_MFA_BYPASS in Snowflake. Option D is incorrect because there is no such property as HOURS_TO_BYPASS_MFA in Snowflake.

NEW QUESTION # 82
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 = false;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
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 = false;
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 = true;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION FOR STAGE_OPERATION = true;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = true;

Answer: D

Explanation:
Explanation
According to the Snowflake documentation1, stages without credentials are a way to create external stages that use storage integrations to access data files in cloud storage without providing any credentials to Snowflake.
Storage integrations are objects that define a trust relationship between Snowflake and a cloud provider, allowing Snowflake to authenticate and authorize access to the cloud storage. To limit data exfiltration after a storage integration and associated stages are created, the following account-level parameters can be set:
*REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION: This parameter enforces that all external stages must be created using a storage integration. This prevents users from creating external stages with inline credentials or URLs that point to unauthorized locations.
*REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION: This parameter enforces that all operations on external stages, such as PUT, GET, COPY, and LIST, must use a storage integration. This prevents users from performing operations on external stages with inline credentials or URLs that point to unauthorized locations.
*PREVENT_UNLOAD_TO_INLINE_URL: This parameter prevents users from unloading data from Snowflake tables to inline URLs that do not use a storage integration. This prevents users from exporting data to unauthorized locations.
Therefore, the correct answer is option D, which sets all these parameters to true. Option A is incorrect because it sets PREVENT_UNLOAD_TO_INLINE_URL to false, which allows users to unload data to inline URLs that do not use a storage integration. Option B is incorrect because it sets both REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION and REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION to false, which allows users to create and operate on external stages without using a storage integration. Option C is incorrect because it sets all the parameters to false, which does not enforce any restrictions on data exfiltration.

NEW QUESTION # 83
A data provider wants to share data from multiple databases with a data consumer account.
How can this be accomplished?

A. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege to a database role to include objects from multiple databases in a share
B. The data provider needs to create a secure view and grant the USAGE privilege on each database referenced by the secure view.
C. The data provider needs to create a secure view and must grant the REFERENCE_USAGE privilege on the database where the secure view is created.
D. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege on each database referenced by the secure view.

Answer: D

Explanation:
Option B is the correct answer because it follows the steps described in the Snowflake documentation for sharing data from multiple databases using secure views. The data provider needs to grant the REFERENCE_USAGE privilege on each database that contains objects referenced by the secure view, and the USAGE privilege only on the database where the secure view is created. Option A is incorrect because it grants the USAGE privilege instead of the REFERENCE_USAGE privilege. Option C is incorrect because it grants the REFERENCE_USAGE privilege to a database role, which is not supported. Option D is incorrect because it grants the REFERENCE_USAGE privilege on the wrong database.

NEW QUESTION # 84
......

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