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Snowflake ADA-C01 Exam Syllabus Topics:
Topic
Details
Topic 1
- Manage and implement data sharing
- Given a set of business requirements, establish access control architecture
Topic 2
- Interpret and make recommendations for data clustering
- Manage DML locking and concurrency in Snowflake
Topic 3
- Implement and manage data governance in Snowflake
- Data Sharing, Data Exchange, and Snowflake Marketplace
Topic 4
- Given a scenario, create and manage access control
- Given a scenario, implement resource monitors
Topic 5
- Given a scenario, configure access controls
- Set up and manage security administration and authorization
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 (Q57-Q62):
NEW QUESTION # 57
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 cardinality of the stores to transaction count ratio is too low to use the STORE_ID as a clustering key.
- D. The STORE_ID should be numeric.
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 # 58
.
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 the stage name and a column for the file path.
- B. A secure view with a column for pre-signed URLs.
- C. A secure view with a column for file URLs.
- D. A secure view with a column for METADATA$FILENAME.
Answer: B
Explanation:
Explanation
According to the Snowflake documentation1, pre-signed URLs are required to access external files in a share.
A secure view can be used to generate pre-signed URLs for the audio files stored in an external stage and expose them to the consumer account. Option A is incorrect because file URLs alone are not sufficient to access external files in a share. Option C is incorrect because METADATA$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 # 59
What are characteristics of data replication in Snowflake? (Select THREE).
- A. To start replication run the ALTER DATABASE ... REFRESH command on the account where the secondary database resides.
- B. Users must be granted REPLICATIONADMIN privileges in order to enable replication.
- C. Replication can only occur within the same cloud provider.
- D. Users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization.
- E. Databases created from shares can be replicated.
- F. The ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account.
Answer: D,E,F
Explanation:
* Option A is correct because the ALTER DATABASE ... ENABLE REPLICATION TO ACCOUNTS command must be issued from the primary account that owns the database to be replicated1.
* Option B is incorrect because users must be granted REPLICATIONGRANTER privileges in order to enable replication1.
* Option C is incorrect because to start replication, the ALTER DATABASE ... REFRESH command must be run on the primary database, not the secondary database1.
* Option D is incorrect because replication can occur across different cloud providers, as well as across regions2.
* Option E is correct because databases created from shares can be replicated, as long as the share is active and the database is not dropped or altered1.
* Option F is correct because users can have unlimited primary databases and they can be replicated to an unlimited number of accounts if all accounts are within the same organization1.
NEW QUESTION # 60
Which Snowflake objects can be managed using SCIM integration? (Select TWO).
- A. Warehouses
- B. Roles
- C. Users
- D. Stages
- E. Shares
Answer: B,C
Explanation:
A SCIM security integration allows the automated management of user identities and groups (i.e. roles) by creating an interface between Snowflake and a third-party Identity Provider (IdP)1. Snowflake supports SCIM integration with Okta, Azure, and custom SCIM clients2. SCIM integration does not support managing other Snowflake objects, such as stages, warehouses, or shares3. Therefore, the answer is B. Users and D. Roles.
NEW QUESTION # 61
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?
- A. No, because the optimizer might decide against it.
- B. Yes, because materialized views are always faster.
- C. No, because the materialized view may not be up-to-date.
- D. No, because joins are not supported by materialized views.
Answer: A
Explanation:
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 # 62
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