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Snowflake SnowPro Advanced Administrator Sample Questions (Q39-Q44):
NEW QUESTION # 39
An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
How can this be accomplished?
- A. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
- B. Create views over the incoming shared database and apply the desired RBAC onto these views.
- C. Individually grant imported privileges onto the schema in the share.
- D. Apply RBAC directly onto the partner's shared secure views.
Answer: B
Explanation:
According to the Snowflake documentation1, secure views are only exposed to authorized users who have been granted the role that owns the view. Therefore, applying RBAC directly onto the partner's shared secure views (option A) is not possible, as the administrator does not own those views. Individually granting imported privileges onto the schema in the share (option B) is also not feasible, as the privileges granted on the schema do not apply to existing secure views, only to future ones2. Cloning the data and inserting it into a company-owned share (option C) is not recommended, as it would create unnecessary duplication of data and increase storage costs. The best option is to create views over the incoming shared database and apply the desired RBAC onto these views (option D). This way, the administrator can control the access to the data based on the roles in their account, without modifying the original data or views from the partner.
NEW QUESTION # 40
An Administrator has been asked to support the company's application team need to build a loyalty program for its customers. The customer table contains Personal Identifiable Information (PII), and the application team's role is DEVELOPER.
CREATE TABLE customer_data (
customer_first_name string,
customer_last_name string,
customer_address string,
customer_email string,
... some other columns,
);
The application team would like to access the customer data, but the email field must be obfuscated.
How can the Administrator protect the sensitive information, while maintaining the usability of the data?
- A. Create a view on the customer_data table to eliminate the email column by omitting it from the SELECT clause. Grant the role DEVELOPER access to the view.
- B. Create a separate table for all the non-Pll columns and grant the role DEVELOPER access to the new table.
- C. Use the CURRENT_ROLE and CURRENT_USER context functions to integrate with a secure view and filter the sensitive data.
- D. Use the CURRENT_ROLE context function to integrate with a masking policy on the fields that contain sensitive data.
Answer: D
NEW QUESTION # 41
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_ROLE
- B. CURRENT_CLIENT
- C. CURRENT_USER
- D. CURRENT ACCOUNT
Answer: C
Explanation:
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 # 42
A Snowflake Administrator is investigating why a query is not re-using the persisted result cache.
The Administrator found the two relevant queries from the SNOWFLAKE. ACCOUNT_USAGE.
QUERY_HISTORY view:
Why is the second query re-scanning micro-partitions instead of using the first query's persisted result cache?
- A. The queries are executed with two different roles.
- B. The second query includes a CURRENT_DATE () function.
- C. The queries are executed with two different virtual warehouses.
- D. The second query includes a CURRENT_TIMESTAMP () function.
Answer: C
Explanation:
Explanation
The inclusion of the CURRENT_TIMESTAMP() function in the second query prevents it from re-using the first query's persisted result cache because this function makes each execution unique due to the constantly changing timestamp. According to the Snowflake documentation, "The query does not include non-reusable functions, which return different results for successive runs of the same query. UUID_STRING, RANDOM, and RANDSTR are good examples of non-reusable functions." The CURRENT_TIMESTAMP() function is another example of a non-reusable function, as it returns the current date and time at the start of query execution, which varies for each run. Therefore, the second query is not identical to the first query, and the result cache is not reused. The other options are either incorrect or irrelevant to the question. Option B is incorrect, as the CURRENT_DATE() function is a reusable function, as it returns the same value for all queries executed within the same day. Option C is irrelevant, as the virtual warehouse used to execute the query does not affect the result cache reuse. Option D is also irrelevant, as the role used to execute the query does not affect the result cache reuse, as long as the role has the necessary access privileges for all the tables used in the query.
NEW QUESTION # 43
What is a characteristic of Snowflake's transaction locking and concurrency modeling?
- A. Transaction locking in Snowflake is enforced exclusively at the row and table levels.
- B. If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.
- C. A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
- D. Queries executed within a given transaction see that transaction's uncommitted changes.
Answer: C
Explanation:
According to the Snowflake documentation1, Snowflake uses a multi-version concurrency control (MVCC) model, which means that each transaction operates on a consistent snapshot of the database at a point in time. This allows queries and DML statements to run concurrently without blocking each other, as they do not modify the same data. Therefore, a deadlock, which occurs when concurrent transactions are waiting on resources that are locked by each other, cannot happen in Snowflake. Option B is incorrect because queries and DML statements do not block each other in Snowflake, unless they are explicitly started transactions and multiple statements in each transaction2. Option C is incorrect because transaction locking in Snowflake is enforced at the partition level, not the row or table level3. Option D is incorrect because queries executed within a given transaction do not see that transaction's uncommitted changes, but only the committed changes that occurred before the transaction started1.
NEW QUESTION # 44
......
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