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Snowflake ADA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Given a scenario, configure access controls Set up and manage security administration and authorization
Topic 2	Given a scenario, manage databases, tables, and views Manage organizations and access control
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

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Snowflake SnowPro Advanced Administrator Sample Questions (Q53-Q58):

NEW QUESTION # 53
A data provider wants to share data from multiple databases with a data consumer account.
How can this be accomplished?

A. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege on each database referenced by the secure view.
B. The data provider needs to create a secure view and grant the USAGE privilege on each database referenced by the secure view.
C. The data provider needs to create a secure view and must grant the REFERENCE_USAGE privilege on the database where the secure view is created.
D. The data provider needs to create a secure view and grant the REFERENCE_USAGE privilege to a database role to include objects from multiple databases in a share

Answer: A

Explanation:
Explanation
Option B is the correct answer because it follows the steps described in the Snowflake documentation for sharing data from multiple databases using secure views. The data provider needs to grant the REFERENCE_USAGE privilege on each database that contains objects referenced by the secure view, and the USAGE privilege only on the database where the secure view is created. Option A is incorrect because it grants the USAGE privilege instead of the REFERENCE_USAGE privilege. Option C is incorrect because it grants the REFERENCE_USAGE privilege to a database role, which is not supported. Option D is incorrect because it grants the REFERENCE_USAGE privilege on the wrong database.

NEW QUESTION # 54
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. Sales across stores are not uniformly distributed.
C. The STORE_ID should be numeric.
D. The cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.

Answer: B

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 # 55
DatabaseA has a single schema called Schema1. This schema contains many tables and views. The ANALYST role has privileges to select from all objects in DatabaseA. Schema1. The SYSADMIN role clones DatabaseA to DatabaseA_clone.
What privileges does the ANALYST role have on tables and views in DatabaseA_clone? (Select TWO).

A. SELECT on all tables and views in DatabaseA_clone. Schema1
B. USAGE on the database DatabaseA_clone. Schemal
C. SELECT on all tables, and only non-secure views in DatabaseA_clone. Schemal
D. SELECT on all tables, and only secure views in DatabaseA_clone. Schemal
E. USAGE on the schema DatabaseA clone

Answer: A,C

Explanation:
Explanation
According to the Snowflake documentation, when a database or schema is cloned, the clone inherits all granted privileges on the clones of all child objects contained in the source object, such as tables and views.
However, the clone of the container itself does not inherit the privileges granted on the source container.
Therefore, the ANALYST role will have SELECT privilege on all tables and views in DatabaseA_clone.Schema1, but not USAGE privilege on the database or schema. The type of view (secure or non-secure) does not affect the cloning of privileges.

NEW QUESTION # 56
A Snowflake user runs a complex SQL query on a dedicated virtual warehouse that reads a large amount of data from micro-partitions. The same user wants to run another query that uses the same data set.
Which action would provide optimal performance for the second SQL query?

A. Increase the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session.
B. Assign additional clusters to the virtual warehouse.
C. Use the RESULT_SCAN function to post-process the output of the first query.
D. Prevent the virtual warehouse from suspending between the running of the first and second queries.

Answer: C

Explanation:
According to the Using Persisted Query Results documentation, the RESULT_SCAN function allows you to query the result set of a previous command as if it were a table. This can improve the performance of the second query by avoiding reading the same data from micro-partitions again. The other actions do not provide optimal performance for the second query because:
* Assigning additional clusters to the virtual warehouse does not affect the data access speed, but only the query execution speed. It also increases the cost of the warehouse.
* Increasing the STATEMENT_TIMEOUT_IN_SECONDS parameter in the session does not improve the performance of the query, but only allows it to run longer before timing out. It also increases the risk of resource contention and deadlock.
* Preventing the virtual warehouse from suspending between the running of the first and second queries does not guarantee that the data will be cached in memory, as Snowflake uses a least recently used (LRU) cache eviction policy. It also increases the cost of the warehouse.
https://docs.snowflake.com/en/user-guide/querying-persisted-results

NEW QUESTION # 57
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 queries are executed with two different virtual warehouses.
C. The second query includes a CURRENT_TIMESTAMP () function.
D. The second query includes a CURRENT_DATE () function.

Answer: C

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 # 58
......

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Free PDF Snowflake - ADA-C01 Authoritative Latest Exam Book

Snowflake ADA-C01 Exam Syllabus Topics:

Exam Snowflake ADA-C01 Sample | Online ADA-C01 Training Materials

Snowflake SnowPro Advanced Administrator Sample Questions (Q53-Q58):

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