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Snowflake ADA-C01 Exam | Exam ADA-C01 Format - 100% Latest Products for your choosing ADA-C01 Reliable Practice Questions

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Snowflake ADA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

Given a scenario, manage databases, tables, and views
Manage organizations and access control

Topic 2

Interpret and make recommendations for data clustering
Manage DML locking and concurrency in Snowflake

Topic 3

Manage and implement data sharing
Given a set of business requirements, establish access control architecture

Topic 4

Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

Topic 5

Set up and manage network and private connectivity
Given a scenario, manage Snowflake Time Travel and Fail-safe

Topic 6

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

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Snowflake SnowPro Advanced Administrator Sample Questions (Q24-Q29):

NEW QUESTION # 24
An Administrator has a user who needs to be able to suspend and resume a task based on the current virtual warehouse load, but this user should not be able to modify the task or start a new run.
What privileges should be granted to the user to meet these requirements? (Select TWO).

A. EXECUTE TASK on the task
B. OPERATE on the task
C. OWNERSHIP on the database and schema containing the task
D. USAGE on the database and schema containing the task
E. OWNERSHIP on the task

Answer: B,D

Explanation:
Explanation
The user needs the OPERATE privilege on the task to suspend and resume it, and the USAGE privilege on the database and schema containing the task to access it1. The EXECUTE TASK privilege is not required for suspending and resuming a task, only for triggering a new run1. The OWNERSHIP privilege on the task or the database and schema would allow the user to modify or drop the task, which is not desired.

NEW QUESTION # 25
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

A. No, because joins are not supported by materialized views.
B. No, because the optimizer might decide against it.
C. No, because the materialized view may not be up-to-date.
D. Yes, because materialized views are always faster.

Answer: B

Explanation:
Snowflake's query optimizer can automatically rewrite queries against the base table or regular views to use the materialized view instead, if the query matches the definition of the materialized view1. However, this is not always guaranteed, as the optimizer might decide against using the materialized view based on various factors, such as the freshness of the data, the size of the result set, the complexity of the query, and the availability of the materialized view2. Therefore, the answer is no, because the optimizer might decide against it.

NEW QUESTION # 26
A company has set up a new Snowflake account. An Identity Provider (IdP) has been configured for both Single Sign-On (SSO) and SCIM provisioning.
What maintenance is required to ensure that the SCIM provisioning process continues to operate without errors?

A. The IdP service account requires a new RSA key pair to be generated every six months.
B. The OAuth Bearer Tokens have a lifespan of six months and must be regenerated prior to expiration.
C. The Administrator must issue a POST RENEW call to the REST API at least once every six months.
D. The IdP Administrator must issue a REFRESH transaction at least once every six months to synchronize all users and roles.

Answer: B

Explanation:
Explanation
According to the Snowflake documentation1, the authentication process for SCIM provisioning uses an OAuth Bearer token and this token is valid for six months. Customers must keep track of their authentication token and can generate a new token on demand. If the token expires, the SCIM provisioning process will fail.
Therefore, the token must be regenerated before it expires. The other options are not required for SCIM provisioning.

NEW QUESTION # 27
.
Company A uses Snowflake to manage audio files of call recordings. Company A hired Company B, who also uses Snowflake, to transcribe the audio files for further analysis.
Company A's Administrator created a share.
What object should be added to the share to allow Company B access to the files?

A. A secure view with a column for METADATA$FILENAME.
B. A secure view with a column for pre-signed URLs.
C. A secure view with a column for the stage name and a column for the file path.
D. A secure view with a column for file URLs.

Answer: B

Explanation:
Explanation
According to the Snowflake documentation1, pre-signed URLs are required to access external files in a share.
A secure view can be used to generate pre-signed URLs for the audio files stored in an external stage and expose them to the consumer account. Option A is incorrect because file URLs alone are not sufficient to access external files in a share. Option C is incorrect because METADATA$FILENAME only returns the file name, not the full path or URL. Option D is incorrect because the stage name and file path are not enough to generate pre-signed URLs.

NEW QUESTION # 28
An Administrator is evaluating a complex query using the EXPLAIN command. The Globalstats operation indicates 500 partitionsAssigned.
The Administrator then runs the query to completion and opens the Query Profile. They notice that the partitions scanned value is 429.
Why might the actual partitions scanned be lower than the estimate from the EXPLAIN output?

A. The EXPLAIN results always include a 10-15% safety factor in order to provide conservative estimates.
B. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
C. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
D. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.

Answer: D

Explanation:
Explanation
The EXPLAIN command returns the logical execution plan for a query, which shows the upper bound estimates for the number of partitions and bytes that might be scanned by the query1. However, these estimates do not account for the runtime optimizations that Snowflake performs to improve the query performance and reduce the resource consumption2. One of these optimizations is join pruning, which eliminates unnecessary partitions from the join inputs based on the join predicates2. This can result in fewer partitions and bytes scanned than the estimates from the EXPLAIN output3. Therefore, the actual partitions scanned value in the Query Profile can be lower than the partitionsAssigned value in the EXPLAIN output4.

NEW QUESTION # 29
......

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Paul Gray Paul Gray

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