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Latest ADA-C01 Exam Questions - Hot ADA-C01 Valid Mock Exam and Effective SnowPro Advanced Administrator Latest Learning Materials
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Snowflake ADA-C01 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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
- 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 4
- 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 5
- 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.
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Snowflake SnowPro Advanced Administrator Sample Questions (Q25-Q30):
NEW QUESTION # 25
What session parameter can be used to test the integrity of secure views based on the account that is accessing that view?
- A. SIMULATED_DATA_SHARING_CONSUMER
- B. TEST_ACCOUNT_ID
- C. MIMIC_CONSUMER_ACCOUNT
- D. PRODUCER_TEST_ACCT
Answer: A
Explanation:
Explanation
The SIMULATED_DATA_SHARING_CONSUMER session parameter allows a data provider to test the integrity of secure views based on the account that is accessing that view2. By setting this parameter to the name of the consumer account, the data provider can query the secure view and see the results that a user in the consumer account will see2. This helps to ensure that sensitive data in a shared database is not exposed to unauthorized users1. The other options are not valid session parameters in Snowflake3
NEW QUESTION # 26
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 security role.
- D. Assign everyone on the sales team to the same virtual warehouse.
Answer: A
Explanation:
According to the web search results from my predefined tool search_web, one of the factors that affects the reuse of persisted query results is the exact match of the query syntax1. If the query contains functions that return different values for successive runs, such as CURRENT_TIMESTAMP, then the query will not match the previous query and will not benefit from the cache. To avoid this, the query should use functions that return consistent values for the same day, such as CURRENT_DATE, which returns the current date without the time component2. Option A is incorrect because wrapping the query in a UDF does not guarantee the syntax match, as the UDF may also contain dynamic functions. Option B is incorrect because the virtual warehouse does not affect the persisted query results, which are stored at the account level1. Option C is incorrect because the security role does not affect the persisted query results, as long as the role has the necessary privileges to access the tables and views used in the query1.
1: Using Persisted Query Results | Snowflake Documentation 2: Date and Time Functions | Snowflake Documentation
NEW QUESTION # 27
What are characteristics of data replication in Snowflake? (Select THREE).
- A. Users must be granted REPLICATIONADMIN privileges in order to enable replication.
- B. To start replication run the ALTER DATABASE ... REFRESH command on the account where the secondary database resides.
- C. Databases created from shares can be replicated.
- D. Replication can only occur within the same cloud provider.
- E. The ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account.
- F. Users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization.
Answer: C,E,F
Explanation:
Explanation
*Option A is correct because the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account that owns the database to be replicated1.
*Option B is incorrect because users must be granted REPLICATIONGRANTER privileges in order to enable replication1.
*Option C is incorrect because to start replication, the ALTER DATABASE ... REFRESH command must be run on the primary database, not the secondary database1.
*Option D is incorrect because replication can occur across different cloud providers, as well as across regions2.
*Option E is correct because databases created from shares can be replicated, as long as the share is active and the database is not dropped or altered1.
*Option F is correct because users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization1.
NEW QUESTION # 28
An Administrator has a warehouse which is intended to have a credit quota set for 3000 for each calendar year.
The Administrator needs to create a resource monitor that
will perform the following tasks:
1. At 80% usage notify the account Administrators.
2. At 100% usage suspend the warehouse and notify the account Administrators.
3. At 120% stop all running executions, suspend the warehouse, and notify the account Administrators.
Which SQL command will meet these requirements?
- A. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1; - B. create or replace resource monitor RM1 with credit_quota=3000
frequency = yearly
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource monitor = RM1; - C. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do suspend
on 120 percent do suspend_immediate;
alter warehouse WH1 set resource_monitor = RM1; - D. create or replace resource monitor RM1 with credit_quota=3000
start_timestamp = '2022-01-01 00:00 CET'
triggers on 80 percent do notify
on 100 percent do notify and suspend
on 120 percent do notify and suspend_immediate;
alter warehouse WH1 set resource monitor = RM1;
Answer: B
Explanation:
Explanation
Option B is the correct SQL command to create a resource monitor that meets the requirements. It sets the credit quota to 3000, the frequency to yearly, the start timestamp to January 1, 2022, and the triggers to notify and suspend the warehouse at the specified thresholds. Option A is incorrect because it does not specify the frequency. Option C is incorrect because it does not specify the frequency and it uses notify and suspend instead of suspend and suspend_immediate. Option D is incorrect because it does not specify the start timestamp. For more information about resource monitors, see Working with Resource Monitors and CREATE RESOURCE MONITOR.
NEW QUESTION # 29
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 security role.
- D. Assign everyone on the sales team to the same virtual warehouse.
Answer: A
Explanation:
Explanation
According to the web search results from my predefined tool search_web, one of the factors that affects the reuse of persisted query results is the exact match of the query syntax1. If the query contains functions that return different values for successive runs, such as CURRENT_TIMESTAMP, then the query will not match the previous query and will not benefit from the cache. To avoid this, the query should use functions that return consistent values for the same day, such as CURRENT_DATE, which returns the current date without the time component2. Option A is incorrect because wrapping the query in a UDF does not guarantee the syntax match, as the UDF may also contain dynamic functions. Option B is incorrect because the virtual warehouse does not affect the persisted query results, which are stored at the account level1. Option C is incorrect because the security role does not affect the persisted query results, as long as the role has the necessary privileges to access the tables and views used in the query1.
1: Using Persisted Query Results | Snowflake Documentation 2: Date and Time Functions | Snowflake Documentation
NEW QUESTION # 30
......
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