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Snowflake ARA-C01 certification exam is a computer-based test. It consists of 95 multiple-choice questions that must be completed in 120 minutes. ARA-C01 exam is administered by Pearson VUE, a leading provider of certification exams globally. Candidates can take the exam at any authorized Pearson VUE testing center, making it convenient for professionals worldwide.

Snowflake ARA-C01: SnowPro Advanced Architect Certification is a prestigious and highly sought-after certification that validates the skills and knowledge of experienced architects and consultants working with Snowflake’s cloud data platform. ARA-C01 Exam is designed to test the advanced level of expertise in designing, deploying, managing, and optimizing Snowflake solutions.

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Snowflake ARA-C01 certification exam is designed to validate the advanced skills and knowledge of individuals in designing and implementing complex Snowflake data warehousing solutions. SnowPro Advanced Architect Certification certification exam is intended for Snowflake architects who have experience in designing and implementing Snowflake solutions in a variety of environments. The Snowflake ARA-C01 Certification Exam is a challenging exam that requires a good understanding of Snowflake architecture, data modeling, and performance optimization.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q113-Q118):

NEW QUESTION # 113
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,D

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 # 114
Files stored in snowflake internal stage are automatically encrypted using either AES 128 or 256 strong encryption.

Answer: B


NEW QUESTION # 115
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.)

Answer: C,E

Explanation:
These two options are the best ways to meet the requirement of loading data from an external stage and making it accessible by dashboards with the least amount of coding.
Snowpipe with auto-ingest is a feature that enables continuous and automated data loading from an external stage into a Snowflake table. Snowpipe uses event notifications from the cloud storage service to detect new or modified files in the stage and triggers a COPY INTO command to load the data into the table. Snowpipe is efficient, scalable, and serverless, meaning it does not require any infrastructure or maintenance from the user. Snowpipe also supports loading data from files of any size, as long as they are in a supported format1.
A materialized view on an external table is a feature that enables creating a pre-computed result set from an external table and storing it in Snowflake. A materialized view can improve the performance and efficiency of querying data from an external table, especially for complex queries or dashboards. A materialized view can also support aggregations, joins, and filters on the external table data. A materialized view on an external table is automatically refreshed when the underlying data in the external stage changes, as long as the AUTO_REFRESH parameter is set to true2.
Reference:
Snowpipe Overview | Snowflake Documentation
Materialized Views on External Tables | Snowflake Documentation


NEW QUESTION # 116
The endpoint insertFiles of SnowPipe rest API is used to inform Snowflake about the files to be ingested into a table. Select the two statements for this end point.

Answer: B,C


NEW QUESTION # 117
A Data Engineer is designing a near real-time ingestion pipeline for a retail company to ingest event logs into Snowflake to derive insights. A Snowflake Architect is asked to define security best practices to configure access control privileges for the data load for auto-ingest to Snowpipe.
What are the MINIMUM object privileges required for the Snowpipe user to execute Snowpipe?

Answer: C


NEW QUESTION # 118
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