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The SnowPro Advanced Administrator (ADA-C01) practice exam consists of a SnowPro Advanced Administrator (ADA-C01) PDF dumps format, Desktop-based ADA-C01 practice test software and a Web-based SnowPro Advanced Administrator (ADA-C01) practice exam. Each of the Actualtests4sure Snowflake ADA-C01 Exam Dumps formats excels in its way and carries actual SnowPro Advanced Administrator (ADA-C01) exam questions for optimal preparation.

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

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

Topic 3

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

Topic 4

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

Topic 5

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

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Snowflake SnowPro Advanced Administrator Sample Questions (Q44-Q49):

NEW QUESTION # 44
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 USAGE privilege on each database referenced by the secure view.
B. The data provider needs to create a secure view and grant the REFERENCE_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: B

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 # 45
Which statement allows this user to access this Snowflake account from a specific IP address (192.168.1.100) while blocking their access from anywhere else?

A. CREATE NETWORK POLICY ADMIN_POLICY
ALLOWED_IP_LIST = ('192.168.1.100');
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY';
User ABC is the only user with an ACCOUNTADMIN role.
B. CREATE NETWORK POLICY ADMIN_POLICY
ALLOWED IP LIST = ('192.168.1.100')
BLOCKED_IP_LIST = ('0.0.0.0/0');
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY';
C. CREATE NETWORK POLICY ADMIN POLICY
ALLOWED_IP_LIST = ('192.168.1.100');
ALTER ROLE ACCOUNTADMIN SET NETWORK_POLICY = 'ADMIN_POLICY';
D. CREATE OR REPLACE NETWORK POLICY ADMIN_POLICY
ALLOWED_IP_LIST = ('192.168. 1. 100/0') ;
ALTER USER ABC SET NETWORK_POLICY = 'ADMIN_POLICY';

Answer: B

Explanation:
Explanation
Option C creates a network policy that allows only the IP address 192.168.1.100 and blocks all other IP addresses using the CIDR notation 0.0.0.0/01. It then applies the network policy to the user ABC, who has the ACCOUNTADMIN role. This ensures that only this user can access the Snowflake account from the specified IP address, while blocking their access from anywhere else. Option A does not block any other IP addresses, option B applies the network policy to the role instead of the user, and option D uses an invalid CIDR notation.

NEW QUESTION # 46
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

A. Create it as a permanent table with a retention time of 0 days.
B. Create it as a transient table with a retention time of 0 days.
C. Create it as a temporary table with a retention time of 0 days.
D. Create it as an external table, which will not incur Time Travel costs.

Answer: B

Explanation:
Explanation
According to the Snowflake documentation1, a transient table is a type of table that does not support Time Travel or Fail-safe, which means that it does not incur any storage costs for maintaining historical versions of the data or backups for disaster recovery. A transient table can be dropped at any time, and the data is not recoverable. A transient table can also have a retention time of 0 days, which means that the data is deleted immediately after the table is dropped or truncated. Therefore, creating the staging table as a transient table with a retention time of 0 days can minimize the storage costs and maximize the performance, as the data is only loaded and transformed once, and then deleted after the production tables are populated. Option A is incorrect because creating the staging table as an external table, which references data files stored in a cloud storage location, can incur additional costs and complexity for data transfer and synchronization, and may not provide the best performance for data loading and transformation. Option C is incorrect because creating the staging table as a temporary table, which is automatically dropped when the session ends or the user logs out, can cause data loss or inconsistency if the session is interrupted or terminated before the production tables are populated. Option D is incorrect because creating the staging table as a permanent table, which supports Time Travel and Fail-safe, can incur additional storage costs for maintaining historical versions of the data and backups for disaster recovery, and may not provide the best performance for data loading and transformation.

NEW QUESTION # 47
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 schemas in the secondary database to 60 days.
B. Set the data retention policy on the primary database to 60 days.
C. Set the data retention policy on the primary database to 30 days and the schemas to 60 days.
D. Set the data retention policy on the secondary database to 60 days.

Answer: D

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 # 48
What is a characteristic of Snowflake's transaction locking and concurrency modeling?

A. Queries executed within a given transaction see that transaction's uncommitted changes.
B. A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
C. Transaction locking in Snowflake is enforced exclusively at the row and table levels.
D. If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.

Answer: B

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 # 49
......

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