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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q157-Q162):

NEW QUESTION # 157
What are characteristics of the use of transactions in Snowflake? (Select TWO).

A. The autocommit setting can be changed inside a stored procedure.
B. Explicit transactions can contain DDL, DML, and query statements.
C. A transaction can be started explicitly by executing a BEGIN TRANSACTION statement and ended explicitly by executing an END TRANSACTION statement.
D. A transaction can be started explicitly by executing a BEGIN WORK statement and ended explicitly by executing a COMMIT WORK statement.
E. Explicit transactions should contain only DML statements and query statements. All DDL statements implicitly commit active transactions.

Answer: D,E

Explanation:
Comprehensive and Detailed Explanation From Exact Extract:
Snowflake supports both implicit and explicit transactions. However, only specific statement types are allowed within transactions.
Option C:
This is correct. In Snowflake, transactions can be started with any of the following: BEGIN, BEGIN WORK, or START TRANSACTION. Transactions can be ended using COMMIT, COMMIT WORK, or ROLLBACK.
Official Extract:
"You can explicitly start a transaction using the BEGIN, BEGIN WORK, or START TRANSACTION statements and end it using the COMMIT, COMMIT WORK, or ROLLBACK statements." Source:Snowflake SQL Transactions Option E:
This is correct. Transactions should only include DML statements (INSERT, UPDATE, DELETE, MERGE) and queries. DDL statements (CREATE, ALTER, DROP) automatically commit and cannot be part of an explicit transaction block.
Official Extract:
"A transaction can contain only DML statements and queries. Any DDL statement implicitly commits the current transaction." Source:Snowflake SQL Transactions Option A:
Incorrect. DDL statements are not allowed inside explicit transactions. If used, they trigger an implicit commit.
Option B:
Incorrect. The autocommit setting cannot be modified within a stored procedure. Autocommit is session-level and not dynamically changeable within procedural logic.
Option D:
Incorrect. Snowflake does not support END TRANSACTION as a valid SQL command. The correct ending statement for a transaction is COMMIT or ROLLBACK.
References:
Snowflake Documentation: Transactions
COMMIT / ROLLBACK Commands
SnowPro Advanced Study Guide - SQL Semantics and Transaction Management

NEW QUESTION # 158
You have a table named JSON_TBL which has a variant column JSON_VAR. The json stored in that table looks as below
{
"COURSE_DESC": "SNOWFLAKE CERTIFICATION",
"COURSE_ID": 1000,
"DURATION": 2
}
if you run a query SELECT JSON_VAR:Course_id FROM JSON_TBL; what will it return

A. 0
B. NULL
C. 1

Answer: B

NEW QUESTION # 159
The following DDL command was used to create a task based on a stream:

Assuming MY_WH is set to auto_suspend - 60 and used exclusively for this task, which statement is true?

A. The warehouse MY_WH will only be active when there are results in the stream.
B. The warehouse MY_WH will never suspend.
C. The warehouse MY_WH will automatically resize to accommodate the size of the stream.
D. The warehouse MY_WH will be made active every five minutes to check the stream.

Answer: A

Explanation:
The warehouse MY_WH will only be active when there are results in the stream. This is because the task is created based on a stream, which means that the task will only be executed when there are new data in the stream. Additionally, the warehouse is set to auto_suspend - 60, which means that the warehouse will automatically suspend after 60 seconds of inactivity. Therefore, the warehouse will only be active when there are results in the stream. References:
* [CREATE TASK | Snowflake Documentation]
* [Using Streams and Tasks | Snowflake Documentation]
* [CREATE WAREHOUSE | Snowflake Documentation]

NEW QUESTION # 160
What are some of the characteristics of result set caches? (Choose three.)

A. The result set cache is not shared between warehouses.
B. Time Travel queries can be executed against the result set cache.
C. The data stored in the result cache will contribute to storage costs.
D. Snowflake persists the data results for 24 hours.
E. Each time persisted results for a query are used, a 24-hour retention period is reset.
F. The retention period can be reset for a maximum of 31 days.

Answer: D,E,F

Explanation:
Explanation
Comprehensive and Detailed Explanation: According to the SnowPro Advanced: Architect documents and learning resources, some of the characteristics of result set caches are:
* Snowflake persists the data results for 24 hours. This means that the result set cache holds the results of
* every query executed in the past 24 hours, and can be reused if the same query is submitted again and the underlying data has not changed1.
* Each time persisted results for a query are used, a 24-hour retention period is reset. This means that the result set cache extends the lifetime of the results every time they are reused, up to a maximum of 31 days from the date and time that the query was first executed1.
* The retention period can be reset for a maximum of 31 days. This means that the result set cache will purge the results after 31 days, regardless of whether they are reused or not. After 31 days, the next time the query is submitted, a new result is generated and persisted1.
The other options are incorrect because they are not characteristics of result set caches. Option A is incorrect because Time Travel queries cannot be executed against the result set cache. Time Travel queries use the AS OF clause to access historical data that is stored in the storage layer, not the result set cache2. Option D is incorrect because the data stored in the result set cache does not contribute to storage costs. The result set cache is maintained by the service layer, and does not incur any additional charges1. Option F is incorrect because the result set cache is shared between warehouses. The result set cache is available across virtual warehouses, so query results returned to one user are available to any other user on the system who executes the same query, provided the underlying data has not changed1. References: Using Persisted Query Results | Snowflake Documentation, Time Travel | Snowflake Documentation

NEW QUESTION # 161
Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

A. IDEF1X
B. Schema-on-write
C. Schema-on-read
D. Information schema

Answer: C

NEW QUESTION # 162
......

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