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Snowflake ARA-C01 Exam With Confidence Using Practice Dumps

Exam Code:
ARA-C01
Exam Name:
SnowPro Advanced: Architect Certification Exam
Vendor:
Questions:
182
Last Updated:
Apr 1, 2026
Exam Status:
Stable
Snowflake ARA-C01

ARA-C01: SnowPro Advanced: Architect Exam 2025 Study Guide Pdf and Test Engine

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SnowPro Advanced: Architect Certification Exam Questions and Answers

Question 1

How does a standard virtual warehouse policy work in Snowflake?

Options:

A.

It conserves credits by keeping running clusters fully loaded rather than starting additional clusters.

B.

It starts only if the system estimates that there is a query load that will keep the cluster busy for at least 6 minutes.

C.

It starts only f the system estimates that there is a query load that will keep the cluster busy for at least 2 minutes.

D.

It prevents or minimizes queuing by starting additional clusters instead of conserving credits.

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Question 2

A DevOps team has a requirement for recovery of staging tables used in a complex set of data pipelines. The staging tables are all located in the same staging schema. One of the requirements is to have online recovery of data on a rolling 7-day basis.

After setting up the DATA_RETENTION_TIME_IN_DAYS at the database level, certain tables remain unrecoverable past 1 day.

What would cause this to occur? (Choose two.)

Options:

A.

The staging schema has not been setup for MANAGED ACCESS.

B.

The DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.

C.

The tables exceed the 1 TB limit for data recovery.

D.

The staging tables are of the TRANSIENT type.

E.

The DevOps role should be granted ALLOW_RECOVERY privilege on the staging schema.

Question 3

What does a Snowflake Architect need to consider when implementing a Snowflake Connector for Kafka?

Options:

A.

Every Kafka message is in JSON or Avro format.

B.

The default retention time for Kafka topics is 14 days.

C.

The Kafka connector supports key pair authentication, OAUTH. and basic authentication (for example, username and password).

D.

The Kafka connector will create one table and one pipe to ingest data for each topic. If the connector cannot create the table or the pipe it will result in an exception.