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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Implement and manage data governance in Snowflake Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 2	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 3	Snowflake Security, Role-Based Access Control (RBAC), and User Administration Disaster Recovery, Backup, and Data Replication
Topic 4	Given a scenario, manage databases, tables, and views Manage organizations and access control

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Snowflake SnowPro Advanced Administrator Sample Questions (Q65-Q70):

NEW QUESTION # 65
How should an Administrator configure a Snowflake account to use AWS PrivateLink?

A. Create CNAME records in the DNS.
B. Block public access to Snowflake.
C. Use SnowCD to evaluate the network connection.
D. Contact Snowflake Support.

Answer: A

Explanation:
To configure a Snowflake account to use AWS PrivateLink, the Administrator needs to create CNAME records in the DNS that point to the private endpoints provided by Snowflake. This allows the clients to connect to Snowflake using the same URL as before, but with private connectivity. According to the Snowflake documentation, "After you have created the VPC endpoints, Snowflake provides you with a list of private endpoints for your account. You must create CNAME records in your DNS that point to these private endpoints. The CNAME records must use the same hostnames as the original Snowflake URLs for your account." The other options are either incorrect or not sufficient to configure AWS PrivateLink. Option B is not necessary, as the Administrator can enable AWS PrivateLink using the SYSTEM$AUTHORIZE_PRIVATELINK function1. Option C is not recommended, as it may prevent some data traffic from reaching Snowflake, such as large result sets stored on AWS S32. Option D is not related to AWS PrivateLink, but to Snowflake Connectivity Diagnostic (SnowCD), which is a tool for diagnosing network issues between clients and Snowflake3.

NEW QUESTION # 66
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool.
The Administrator has noticed that the ANALYST users keep two
small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

A. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
B. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.
C. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
D. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend andauto-resume.
Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.

Answer: B

Explanation:
Explanation
According to the Snowflake documentation1, a multi-cluster warehouse is a virtual warehouse that consists of multiple clusters of compute resources that can scale up or down automatically to handle the concurrency and performance needs of the queries submitted to the warehouse. A multi-cluster warehouse has a minimum and maximum number of clusters that can be specified by the administrator. Option B is the most efficient way to support the group of users, as it allows the administrator to create a multi-cluster warehouse with MIN_CLUSTERS set to 2, which means that the warehouse will always have two clusters running to handle the standard workload. The warehouse can also auto-scale up to the maximum number of clusters (which can be set according to the peak workload) when there is a spike in demand, and then scale down when the demand decreases. The warehouse can also auto-resume and auto-suspend, which means that the warehouse will automatically start when a query is submitted and automatically stop after a period of inactivity. The administrator can also give USAGE privileges to the ANALYST role, which means that the users can use the warehouse to execute queries and load data, but not modify or operate the warehouse. Option A is not efficient, as it requires the users to manually start and stop the warehouse, and increase the number of clusters as needed, which can be time-consuming and error-prone. Option C is not efficient, as it creates a standard X-Large warehouse, which is equivalent to four small clusters, which may be more than needed for the standard workload, and may not be enough for the peak workload. Option D is not efficient, as it creates four virtual warehouses of different sizes, which can be confusing and cumbersome for the users to select the appropriate warehouse based on how many queries are being run, and may also result in wasted resources and costs.

NEW QUESTION # 67
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. OWNERSHIP on the task
B. OPERATE on the task
C. EXECUTE TASK on the task
D. OWNERSHIP on the database and schema containing the task
E. USAGE on the database and schema containing the task

Answer: B,E

NEW QUESTION # 68
A user has enrolled in Multi-factor Authentication (MFA) for connecting to Snowflake. The user informs the Snowflake Administrator that they lost their mobile phone the previous evening.
Which step should the Administrator take to allow the user to log in to the system, without revoking their MFA enrollment?

A. Instruct the user to connect to Snowflake using SnowSQL, which does not support MFA authentication.
B. Instruct the user to append the normal URL with /?mode=mfa_bypass&code= to log on.
C. Alter the user and set DISABLE_MFA to true, which will suspend the MFA requirement for 24 hours.
D. Alter the user and set MINS TO BYPASS MFA to a value that will disable MFA long enough for the user to log in.

Answer: D

Explanation:
The MINS_TO_BYPASS_MFA property allows the account administrator to temporarily disable MFA for a user who has lost their phone or changed their phone number1. The user can log in without MFA for the specified number of minutes, and then re-enroll in MFA using their new phone1. This does not revoke their MFA enrollment, unlike the DISABLE_MFA property, which cancels their enrollment and requires them to re-enroll from scratch1. The other options are not valid ways to bypass MFA, as SnowSQL does support MFA authentication2, and there is no such URL parameter as /?mode=mfa_bypass&code= for Snowflake3

NEW QUESTION # 69
A retailer uses a TRANSACTIONS table (100M rows, 1.2 TB) that has been clustered by the STORE_ID column (varchar(50)). The vast majority of analyses on this table are grouped by STORE_ID to look at store performance.
There are 1000 stores operated by the retailer but most sales come from only 20 stores. The Administrator notes that most queries are currently experiencing poor pruning, with large amounts of bytes processed by even simple queries.
Why is this occurring?

A. The table is not big enough to take advantage of the clustering key.
B. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
C. The STORE_ID should be numeric.
D. Sales across stores are not uniformly distributed.

Answer: D

Explanation:
Explanation
According to the Snowflake documentation1, clustering keys are most effective when the data is evenly distributed across the key values. If the data is skewed, such as in this case where most sales come from only
20 stores out of 1000, then the micro-partitions will not be well-clustered and the pruning will be poor. This means that more bytes will be scanned by queries, even if they filter by STORE_ID. Option A is incorrect because the data type of the clustering key does not affect the pruning. Option B is incorrect because the table is large enough to benefit from clustering, if the data was more balanced. Option D is incorrect because the cardinality of the clustering key is not relevant for pruning, as long as the key values are distinct.
1: Considerations for Choosing Clustering for a Table | Snowflake Documentation

NEW QUESTION # 70
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ADA-C01 PDF VCE, New ADA-C01 Test Syllabus

Snowflake ADA-C01 Exam Syllabus Topics:

2025 ADA-C01: Reliable SnowPro Advanced Administrator PDF VCE

Snowflake SnowPro Advanced Administrator Sample Questions (Q65-Q70):

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