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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 2	Set up and manage network and private connectivity Given a scenario, manage Snowflake Time Travel and Fail-safe
Topic 3	Manage and implement data sharing Given a set of business requirements, establish access control architecture
Topic 4	Given a scenario, manage databases, tables, and views Manage organizations and access control
Topic 5	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication

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Snowflake SnowPro Advanced Administrator Sample Questions (Q29-Q34):

NEW QUESTION # 29
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?

A. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
B. Assign additional clusters to the virtual warehouse.
C. Use the RESULT_SCAN function to post-process the output of the first query.
D. Prevent the virtual warehouse from suspending between the running of the first and secondqueries.

Answer: C

Explanation:
Explanation
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
*Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
*Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
*Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/user-guide/querying-persisted-results

NEW QUESTION # 30
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 loT dat a. 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? (Select TWO).

A. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_ DAYS.
B. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
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 DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
E. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.

Answer: A,C

Explanation:
According to the Understanding & Using Time Travel documentation, Time Travel is a feature that allows you to query, clone, and restore historical data in tables, schemas, and databases for up to 90 days. To meet the requirements of the scenario, the following best practices should be followed:
* The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS. This parameter specifies the number of days for which the historical data is preserved and can be accessed by Time Travel. To ensure that the fact and dimension tables can be reverted to a consistent state in case of any anomalies in the latest load, they should have the same retention period. Otherwise, some tables may lose their historical data before others, resulting in data inconsistency and quality issues.
* 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. Cloning is a way of creating a copy of an object (table, schema, or database) at a specific point in time using Time Travel. To ensure that the fact and dimension tables are cloned with the same data set, they should be cloned together using the same AT or BEFORE clause. This will avoid any referential integrity issues that may arise from cloning tables at different points in time.
The other options are incorrect because:
* Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas. This is not a best practice for Time Travel, as it does not affect the ability to query, clone, or restore historical data. However, it may be a good practice for data modeling and organization, depending on the use case and design principles.
* The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas). This is not a best practice for Time Travel, as it limits the flexibility and granularity of setting the retention period for different objects. The retention period can be set at the account, database, schema, or table level, and the most specific setting overrides the more general ones. This allows for customizing the retention period based on the data needs and characteristics of each object.
* Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables. This is not a best practice for Time Travel, as it does not affect the referential integrity between the tables. Transient tables are tables that do not have a Fail-safe period, which means that they cannot be recovered by Snowflake after the retention period ends. However, they still support Time Travel within the retention period, and can be queried, cloned, and restored like permanent tables. The choice of table type depends on the data durability and availability requirements, not on the referential integrity.

NEW QUESTION # 31
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. OWNERSHIP on the database and schema containing the task
B. OPERATE on the task
C. OWNERSHIP on the task
D. EXECUTE TASK on the task
E. USAGE on the database and schema containing the task

Answer: B,E

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 # 32
How should an Administrator configure a Snowflake account to use AWS PrivateLink?

A. Contact Snowflake Support.
B. Create CNAME records in the DNS.
C. Block public access to Snowflake.
D. Use SnowCD to evaluate the network connection.

Answer: B

Explanation:
To configure a Snowflake account to use AWS PrivateLink, the Administrator needs to create CNAME records in the DNS that point to the private endpoints provided by Snowflake. This allows the clients to connect to Snowflake using the same URL as before, but with private connectivity. According to the Snowflake documentation, "After you have created the VPC endpoints, Snowflake provides you with a list of private endpoints for your account. You must create CNAME records in your DNS that point to these private endpoints. The CNAME records must use the same hostnames as the original Snowflake URLs for your account." The other options are either incorrect or not sufficient to configure AWS PrivateLink. Option B is not necessary, as the Administrator can enable AWS PrivateLink using the SYSTEM$AUTHORIZE_PRIVATELINK function1. Option C is not recommended, as it may prevent some data traffic from reaching Snowflake, such as large result sets stored on AWS S32. Option D is not related to AWS PrivateLink, but to Snowflake Connectivity Diagnostic (SnowCD), which is a tool for diagnosing network issues between clients and Snowflake3.

NEW QUESTION # 33
What Snowflake capabilities are commonly used in rollback scenarios? (Select TWO).

A. SELECT SYSTEM$CANCEL_QUERY('problematic_query_id');
B. ALTER TABLE prd_table SWAP WITH prd_table_bkp;
C. CREATE TABLE prd_table_bkp CLONE prd_table BEFORE (STATEMENT => 'problematic_query_id');
D. Contact Snowflake Support to retrieve Fail-safe data.
E. CREATE TABLE prd_table_bkp AS SELECT * FROM TABLE(RESULT_SCAN('problematic_query_id'));

Answer: B,C

Explanation:
Scenario: You want to rollback changes due to a problematic query (e.g., accidental data modification or corruption). Snowflake provides two powerful tools:
✅ B. CLONE ... BEFORE (STATEMENT => 'query_id')
This uses Time Travel + Zero-Copy Cloning.
You can clone a table as it existed before a specific query.
It creates a full copy of the table's state at that moment without duplicating storage.
Example:
CREATE TABLE prd_table_bkp CLONE prd_table
BEFORE (STATEMENT => '01a2b3c4-0000-0000-0000-123456789abc');
✅ D. ALTER TABLE ... SWAP WITH ...
Once you've cloned the backup, you can swap it with the live table.
This is a fast, atomic operation - ideal for rollback.
Example:
ALTER TABLE prd_table SWAP WITH prd_table_bkp;
❌ Why the Other Options Are Incorrect:
A . SELECT SYSTEM$CANCEL_QUERY(...)
Cancels a currently running query - doesn't help if the query already executed and caused damage.
C . CREATE TABLE ... AS SELECT * FROM RESULT_SCAN(...)
Reconstructs results, not the original table.
Only captures output rows, not full table state.
Not ideal for rollback.
E . Contact Snowflake Support to retrieve Fail-safe data
Fail-safe is for disaster recovery only, and only accessible by Snowflake support.
It's not intended for routine rollback or recovery and has a 7-day fixed retention (non-configurable).
SnowPro Administrator Reference:
Zero-Copy Cloning with Time Travel
ALTER TABLE SWAP
System Functions - SYSTEM$CANCEL_QUERY
Fail-safe Overview

NEW QUESTION # 34
......

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PASS GUARANTEED SNOWFLAKE - ADA-C01 - PASS-SURE SNOWPRO ADVANCED ADMINISTRATOR CERTIFICATION BOOK TORRENT

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