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| Section | Weight | Objectives |
|---|---|---|
| Data Engineering | 25% | - Data Transformation
|
| Performance Optimization | 20% | - Cost and Resource Optimization
|
| Snowflake Architecture | 30% | - Platform Architecture Design
|
| Accounts and Security | 25% | - Access Control and Authentication
|
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NEW QUESTION # 182
An Architect is designing a file ingestion recovery solution. The project will use an internal named stage for file storage. Currently, in the case of an ingestion failure, the Operations team must manually download the failed file and check for errors.
Which downloading method should the Architect recommend that requires the LEAST amount of operational overhead?
Answer: C
Explanation:
The get command in SnowSQL is a convenient way to download files from an internal stage to a local directory. The get command can be used in interactive mode or in a script, and it supports wildcards and parallel downloads. The get command also allows specifying the overwrite option, which determines how to handle existing files with the same name2 The Snowflake Connector for Python, the Snowflake API endpoint, and the get command in Snowsight are not recommended methods for downloading files from an internal stage, because they require more operational overhead than the get command in SnowSQL. The Snowflake Connector for Python and the Snowflake API endpoint require writing and maintaining code to handle the connection, authentication, and file transfer. The get command in Snowsight requires using the web interface and manually selecting the files to download34 Reference:
1: SnowPro Advanced: Architect | Study Guide
2: Snowflake Documentation | Using the GET Command
3: Snowflake Documentation | Using the Snowflake Connector for Python
4: Snowflake Documentation | Using the Snowflake API
: Snowflake Documentation | Using the GET Command in Snowsight
: SnowPro Advanced: Architect | Study Guide
: Using the GET Command
: Using the Snowflake Connector for Python
: Using the Snowflake API
: [Using the GET Command in Snowsight]
NEW QUESTION # 183
What considerations need to be taken when using database cloning as a tool for data lifecycle management in a development environment? (Select TWO).
Answer: B,E
NEW QUESTION # 184
What are characteristics of the use of transactions in Snowflake? (Select TWO).
Answer: A,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 # 185
A table, EMP_ TBL has three records as shown:
The following variables are set for the session:
Which SELECT statements will retrieve all three records? (Select TWO).
Answer: D,E
Explanation:
The correct answer is B and E because they use the correct syntax and values for the identifier function and the session variables.
The identifier function allows you to use a variable or expression as an identifier (such as a table name or column name) in a SQL statement. It takes a single argument and returns it as an identifier. For example, identifier($tbl_ref) returns EMP_TBL as an identifier.
The session variables are set using the SET command and can be referenced using the $ sign. For example, $var1 returns Name1 as a value.
Option A is incorrect because it uses Stbl_ref and Scol_ref, which are not valid session variables or identifiers. They should be $tbl_ref and $col_ref instead.
Option C is incorrect because it uses identifier<Stbl_ref>, which is not a valid syntax for the identifier function. It should be identifier($tbl_ref) instead.
Option D is incorrect because it uses Cvarl, var2, and var3, which are not valid session variables or values. They should be $var1, $var2, and $var3 instead. Reference:
Snowflake Documentation: Identifier Function
Snowflake Documentation: Session Variables
Snowflake Learning: SnowPro Advanced: Architect Exam Study Guide
NEW QUESTION # 186
You have created a table as below
CREATE TABLE TEST_01 (NAME STRING(10));
What data type SNOWFLAKE will assign to column NAME?
Answer: B
NEW QUESTION # 187
......
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