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| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization | 20% | - Query Performance
|
| Data Engineering | 25% | - Data Transformation
|
| Accounts and Security | 25% | - Access Control and Authentication
|
| Snowflake Architecture | 30% | - Platform Architecture Design
|
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NEW QUESTION # 27
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 # 28
The following chart represents the performance of a virtual warehouse over time:
A Data Engineer notices that the warehouse is queueing queries. The warehouse is sizeX-Small, theminimum and maximum cluster counts are set to 1, thescaling policy is set to standard, andauto-suspend is set to 10 minutes.
How can the performance be improved?
Answer: A
NEW QUESTION # 29
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: C,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. References:
Snowflake Documentation: Identifier Function
Snowflake Documentation: Session Variables
Snowflake Learning: SnowPro Advanced: Architect Exam Study Guide
NEW QUESTION # 30
A company has a table with that has corrupted data, named Data. The company wants to recover the data as it was 5 minutes ago using cloning and Time Travel.
What command will accomplish this?
Answer: D
Explanation:
Explanation
This is the correct command to create a clone of the table Data as it was 5 minutes ago using cloning and Time Travel. Cloning is a feature that allows creating a copy of a database, schema, table, or view without duplicating the data or metadata. Time Travel is a feature that enables accessing historical data (i.e. data that has been changed or deleted) at any point within a defined period. To create a clone of a table at a point in time in the past, the syntax is:
CREATE TABLE <clone_name> CLONE <source_table> AT (OFFSET => <offset_in_seconds>); The OFFSET parameter specifies the time difference in seconds from the present time. A negative value indicates a point in the past. For example, -60*5 means 5 minutes ago. Alternatively, the TIMESTAMP parameter can be used to specify an exact timestamp in the past. The clone will contain the data as it existed in the source table at the specified point in time12.
References:
* Snowflake Documentation: Cloning Objects
* Snowflake Documentation: Cloning Objects at a Point in Time in the Past
NEW QUESTION # 31
Which functions does the Data Build Tool (dbt) facilitate? (Select TWO).
Answer: B,C
Explanation:
dbt is a transformation-focused analytics engineering tool that operates inside the data warehouse. It enables SQL-based data transformations and manages dependencies between models (Answer D). dbt also provides built-in data testing capabilities, allowing teams to define and run tests for data quality, such as uniqueness, not-null constraints, and referential integrity checks (Answer B).
dbt does not handle data loading, visualization, or replication; those functions are typically handled by ingestion tools, BI platforms, or replication services. SnowPro Architect candidates are expected to understand dbt's role in the Snowflake ecosystem and how it fits into modern ELT architectures.
NEW QUESTION # 32
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