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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Architecture	30%	- Data sharing architecture design - Development lifecycle and workload support - Object hierarchy and architectural impact - Data modeling and use cases - Data protection and recovery strategies
Topic 2: Accounts and Security	25%	- Security, compliance and governance architecture - Account and database strategy design - Security principles and implementation scenarios
Topic 3: Data Engineering	25%	- Data pipeline and integration design - Data loading and unloading solutions - Transformation and processing frameworks
Topic 4: Performance Optimization	20%	- Query performance tuning - Cost optimization and resource management - Clustering and partitioning strategies - Virtual warehouse configuration and sizing

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q81-Q86):

NEW QUESTION # 81
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?

A. Use the get command in SnowSQL to retrieve the file.
B. Use the Snowflake API endpoint and download the file.
C. Use the get command in Snowsight to retrieve the file.
D. Use the Snowflake Connector for Python, connect to remote storage and download the file.

Answer: A

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 # 82
What integration object should be used to place restrictions on where data may be exported?

A. Storage integration
B. API integration
C. Security integration
D. Stage integration

Answer: A

Explanation:
In Snowflake, a storage integration is used to define and configure external cloud storage that Snowflake will interact with. This includes specifying security policies for access control. One of the main features of storage integrations is the ability to set restrictions on where data may be exported. This is done by binding the storage integration to specific cloud storage locations, thereby ensuring that Snowflake can only access those locations. It helps to maintain control over the data and complies with data governance and security policies by preventing unauthorized data exports to unspecified locations.

NEW QUESTION # 83
What is a key consideration when setting up search optimization service for a table?

A. Search optimization service can help to optimize storage usage by compressing the data into a GZIP format.
B. Search optimization service works best with a column that has a minimum of 100 K distinct values.
C. The table must be clustered with a key having multiple columns for effective search optimization.
D. Search optimization service can significantly improve query performance on partitioned external tables.

Answer: B

Explanation:
Explanation:

NEW QUESTION # 84
Which data models can be used when modeling tables in a Snowflake environment? (Select THREE).

A. lnmon/3NF
B. Data lake
C. Bayesian hierarchical model
D. Data vault
E. Graph model
F. Dimensional/Kimball

Answer: A,D,F

NEW QUESTION # 85
An Architect uses COPY INTO with the ON_ERROR=SKIP_FILE option to bulk load CSV files into a table called TABLEA, using its table stage. One file named file5.csv fails to load. The Architect fixes the file and re-loads it to the stage with the exact same file name it had previously.
Which commands should the Architect use to load only file5.csv file from the stage? (Choose two.)

A. COPY INTO tablea FROM @%tablea FILES = ('file5.csv');
B. COPY INTO tablea FROM @%tablea;
C. COPY INTO tablea FROM @%tablea MERGE = TRUE;
D. COPY INTO tablea FROM @%tablea RETURN_FAILED_ONLY = TRUE;
E. COPY INTO tablea FROM @%tablea NEW_FILES_ONLY = TRUE;
F. COPY INTO tablea FROM @%tablea FORCE = TRUE;

Answer: B,E

NEW QUESTION # 86
......

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Snowflake ARA-C01 Exam Syllabus Topics:

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q81-Q86):