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Snowflake ADA-C01 Exam Syllabus Topics:

Topic
Details

Topic 1

Set up and manage network and private connectivity
Given a scenario, manage Snowflake Time Travel and Fail-safe

Topic 2

Manage and implement data sharing
Given a set of business requirements, establish access control architecture

Topic 3

Given a scenario, manage databases, tables, and views
Manage organizations and access control

Topic 4

Snowflake Security, Role-Based Access Control (RBAC), and User Administration
Disaster Recovery, Backup, and Data Replication

Topic 5

Interpret and make recommendations for data clustering
Manage DML locking and concurrency in Snowflake

Topic 6

Given a scenario, configure access controls
Set up and manage security administration and authorization

Topic 7

Implement and manage data governance in Snowflake
Data Sharing, Data Exchange, and Snowflake Marketplace

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Snowflake SnowPro Advanced Administrator Sample Questions (Q21-Q26):

NEW QUESTION # 21
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. Apply RBAC directly onto the partner's shared secure views.
B. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
C. Individually grant imported privileges onto the schema in the share.
D. Create views over the incoming shared database and apply the desired RBAC onto these views.

Answer: D

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 # 22
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:
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 # 23
A Snowflake Administrator wants to create a virtual warehouse that supports several dashboards, issuing various queries on the same database.
For this warehouse, why should the Administrator consider setting AUTO_SUSPEND to 0 or NULL?

A. To keep the query result cache warm for good performance on repeated queries
B. To save costs by running the warehouse as little as possible
C. To keep the data cache warm to support good performance of similar queries
D. To save costs on warehouse shutdowns and startups for different queries

Answer: C

NEW QUESTION # 24
A user with the proper role issues the following commands when setting up and activating network policies:
CREATE OR REPLACE NETWORK POLICY foo_policy
ALLOWED_IP_LIST = ( '1.1.1.0/24', '2.2.2.0/24' , '3.3. 3. 0/24' )
BLOCKED IP LIST = ( '1.1.1.1')
COMMENT = 'Account level policy';
ALTER ACCOUNT SET NETWORK_POLICY=FOO_POLICY;
CREATE OR REPLACE NETWORK POLICY bar_policy
ALLOWED_IP_LIST = ('3.3.3.0/24')
BLOCKED IP LIST = ('3.3.3.10')
COMMENT = 'user level policy';
ALTER USER userl SET NETWORK_POLICY=BAR_POLICY;
Afterwards, user1 attempts to log in to Snowflake from IP address 3.3.3.10.
Will the login be successful?

A. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of bar_policy.
B. No, because 3.3.3.10 is not found in the ALLOWED_IP_LIST of foo_policy.
C. Yes, because 3.3.3.10 is found in the ALLOWED_IP_LIST of foo_policy.
D. No, because 3.3.3.10 is found in the BLOCKED_IP_LIST of bar_policy.

Answer: D

Explanation:
Explanation
According to the Snowflake documentation1, network policies are a feature that allows restricting access to your account based on user IP address. A network policy can be applied to an account, a user, or a security integration, and can specify a list of allowed IP addresses and a list of blocked IP addresses. If there are network policies applied to more than one of these, the most specific network policy overrides more general network policies. In this case, the user1 has a network policy (bar_policy) applied to them, which overrides the account-level network policy (foo_policy). The bar_policy allows access only from the IP range 3.3.3.0/24, and blocks access from the IP address 3.3.3.10. Therefore, the user1 will not be able to log in to Snowflake from IP address 3.3.3.10, as it is found in the BLOCKED_IP_LIST of bar_policy. Option A is incorrect because the ALLOWED_IP_LIST of bar_policy does not override the BLOCKED_IP_LIST of bar_policy.
Option C is incorrect because the ALLOWED_IP_LIST of foo_policy does not apply to user1, as it is overridden by the user-level network policy. Option D is incorrect because the ALLOWED_IP_LIST of foo_policy does not matter, as it is overridden by the user-level network policy.

NEW QUESTION # 25
A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA.
The company's Time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the Time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

A. Set the data retention policy on the secondary database to 60 days.
B. Set the data retention policy on the primary database to 30 days and the schemas to 60 days.
C. Set the data retention policy on the primary database to 60 days.
D. Set the data retention policy on the schemas in the secondary database to 60 days.

Answer: A

Explanation:
According to the Replication considerations documentation, the Time Travel retention period for a secondary database can be different from the primary database. The retention period can be set at the database, schema, or table level using the DATA_RETENTION_TIME_IN_DAYS parameter. Therefore, to extend the Time Travel retention policy to 60 days on the secondary database only, the best option is to set the data retention policy on the secondary database to 60 days using the ALTER DATABASE command. The other options are incorrect because:
* B. Setting the data retention policy on the schemas in the secondary database to 60 days will not affect the database-level retention period, which will remain at 30 days. The most specific setting overrides the more general ones, so the schema-level setting will apply to the tables in the schema, but not to the database itself.
* C. Setting the data retention policy on the primary database to 30 days and the schemas to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.
* D. Setting the data retention policy on the primary database to 60 days will not affect the secondary database, which will have its own retention period. The replication process does not copy the retention period settings from the primary to the secondary database, so they can be configured independently.

NEW QUESTION # 26
......

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James Davis James Davis

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