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As practice makes perfect, we offer three different formats of Snowflake ADA-C01 exam study material to practice and prepare for the SnowPro Advanced Administrator (ADA-C01) exam. Our Snowflake ADA-C01 practice test simulates the real ADA-C01exam and helps applicants kill exam anxiety. These ADA-C01 practice exams provide candidates with an accurate assessment of their readiness for the ADA-C01 test.
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Snowflake SnowPro Advanced Administrator Sample Questions (Q56-Q61):
NEW QUESTION # 56
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?
- A. CURRENT_CLIENT
- B. CURRENT_ROLE
- C. CURRENT ACCOUNT
- D. CURRENT_USER
Answer: D
Explanation:
According to the Working with Secure Views documentation, secure views are designed to limit access to sensitive data that should not be exposed to all users of the underlying table(s). When sharing secure views with another account, the view definition must include a function that returns the identity of the user who is querying the view, such as CURRENT_USER, CURRENT_ROLE, or CURRENT_ACCOUNT. These functions can be used to filter the rows in the base table based on the user's identity. For example, a secure view can use the CURRENT_USER function to compare the user name with a column in the base table that contains the authorized user names. Only the rows that match the user name will be returned by the view. The CURRENT_CLIENT function is not suitable for this purpose, because it returns the IP address of the client that is connected to Snowflake, which is not related to the user's identity.
NEW QUESTION # 57
An Administrator needs to implement an access control mechanism across an organization. The organization users access sensitive customer data that comes from different regions and needs to be accessible for Analysts who work in these regions. Some Analysts need very specific access control depending on their functional roles in the organization. Following Snowflake recommended practice, how should these requirements be met? (Select TWO).
- A. Include masking rules as part of data ingestion and transformation pipelines.
- B. Use a third-party tool to share the data.
- C. Implement row access policies and Dynamic Data Masking policies.
- D. Implement views on top of base tables that exclude or mask sensitive data.
- E. Use zero-copy cloning to replicate the database schema and provide access as needed.
Answer: C,D
NEW QUESTION # 58
How should an Administrator configure a Snowflake account to use AWS PrivateLink?
- A. Use SnowCD to evaluate the network connection.
- B. Contact Snowflake Support.
- C. Create CNAME records in the DNS.
- D. Block public access to Snowflake.
Answer: C
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 # 59
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. Runtime optimizations such as join pruning can reduce the number of partitions and bytes scanned during query execution.
- C. The GlobalStats partition assignment includes the micro-partitions that will be assigned for preservation of the query results.
- D. In-flight data compression will result in fewer micro-partitions being scanned at the virtual warehouse layer than were identified at the storage layer.
Answer: B
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 # 60
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Select TWO).
- A. Unpublishing the data listing
- B. Renaming a table
- C. Deleting data from a table
- D. Dropping a column from a table
- E. Adding region availability to the listing
Answer: B,D
Explanation:
Explanation
According to the Snowflake documentation1, breaking changes are changes that affect the schema or structure of the shared data, such as dropping or renaming a column or a table. These changes may cause errors or unexpected results for the consumers who query the shared data. Deleting data from a table, unpublishing the data listing, or adding region availability to the listing are not breaking changes, as they do not alter the schema or structure of the shared data.
1: Managing Data Listings in Snowflake Data Marketplace | Snowflake Documentation
NEW QUESTION # 61
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