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ARA-C01 Reliable Exam Answers | PDF ARA-C01 VCE

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The SnowPro Advanced Architect Certification is a valuable credential for data architects and engineers who want to demonstrate their expertise in designing and implementing complex Snowflake solutions. SnowPro Advanced Architect Certification certification provides a competitive edge to professionals by showcasing their skills and knowledge in the field of data management, warehousing, and analytics. SnowPro Advanced Architect Certification certification is recognized globally by companies that use Snowflake for their data management needs.

Snowflake ARA-C01: SnowPro Advanced Architect Certification Exam is an essential step for professionals looking to advance their careers in the field of data warehousing and cloud computing. It is designed to test an individual's knowledge and expertise in advanced Snowflake architecture and is a valuable accomplishment that demonstrates an individual's commitment to the platform.

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q16-Q21):

NEW QUESTION # 16
One of your joins is taking a lot of time. The query profile view looks like this.
What may be the issue?

A. There is not enough memory to process the join query
B. Looks like tablescan is the most expensive operation in the profile.
C. This may be an "exploding join" issue. The query has provided a condition where records from one table match multiple records from another table resulting in a cartesian product

Answer: C

NEW QUESTION # 17
What built-in Snowflake features make use of the change tracking metadata for a table? (Choose two.)

A. The UPSERT command
B. The MERGE command
C. A STREAM object
D. Thee CHANGE_DATA_CAPTURE command
E. The CHANGES clause

Answer: C,E

NEW QUESTION # 18
By default, the maximum file size that can be unloaded to a single file in snowflake is

A. 5 GB for Azure, AWS and GCP
B. 10 MB
C. 16 MB

Answer: C

NEW QUESTION # 19
An Architect is designing a data lake with Snowflake. The company has structured, semi-structured, and unstructured data. The company wants to save the data inside the data lake within the Snowflake system. The company is planning on sharing data among its corporate branches using Snowflake data sharing.
What should be considered when sharing the unstructured data within Snowflake?

A. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with the "expiration_time" argument defined for the URL time limit.
B. A pre-signed URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with no time limit for the URL.
C. A scoped URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 24-hour time limit for the URL.
D. A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 7-day time limit for the URL.

Answer: C

Explanation:
When sharing unstructured data within Snowflake, using a scoped URL is recommended. Scoped URLs provide temporary access to staged files without granting privileges to the stage itself, enhancing security. The URL expires when the persisted query result period ends, which is currently set to 24 hours. This approach is suitable for sharing unstructured data over secure views within Snowflake's data sharing framework.
References: The answer is based on Snowflake's official documentation regarding the sharing of unstructured data and the use of scoped URLs1.

NEW QUESTION # 20
Files arrive in an external stage every 10 seconds from a proprietary system. The files range in size from 500 K to 3 MB. The data must be accessible by dashboards as soon as it arrives.
How can a Snowflake Architect meet this requirement with the LEAST amount of coding? (Choose two.)

A. Use a COPY command with a task.
B. Use a materialized view on an external table.
C. Use Snowpipe with auto-ingest.
D. Use the COPY INTO command.
E. Use a combination of a task and a stream.

Answer: C,E

Explanation:
The requirement is for the data to be accessible as quickly as possible after it arrives in the external stage with minimal coding effort.
Option A: Snowpipe with auto-ingest is a service that continuously loads data as it arrives in the stage. With auto-ingest, Snowpipe automatically detects new files as they arrive in a cloud stage and loads the data into the specified Snowflake table with minimal delay and no intervention required. This is an ideal low-maintenance solution for the given scenario where files are arriving at a very high frequency.
Option E: Using a combination of a task and a stream allows for real-time change data capture in Snowflake. A stream records changes (inserts, updates, and deletes) made to a table, and a task can be scheduled to trigger on a very short interval, ensuring that changes are processed into the dashboard tables as they occur.

NEW QUESTION # 21
......

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