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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Protection and Disaster Recovery	15%	- Backup and restore procedures - Data replication - Snowflake Marketplace - Disaster recovery planning
Performance and Monitoring	20%	- Query history and profiling - Query performance optimization - Clustering keys - Resource monitoring and management
Data Management	20%	- Database object management - Data loading and unloading - Data sharing and replication - Time Travel and Fail-safe
Account Management and Security	25%	- Security and governance management - Role-Based Access Control (RBAC) - User management and authentication - Account management and billing
Virtual Warehouses	20%	- Warehouse performance optimization - Warehouse sizing and scaling - Resource monitors - Virtual warehouse creation and management

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q32-Q37):

NEW QUESTION # 32
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

A. No, because the materialized view may not be up-to-date.
B. Yes, because materialized views are always faster.
C. No, because joins are not supported by materialized views.
D. No, because the optimizer might decide against it.

Answer: D

Explanation:
Even if a query matches the definition of a materialized view, the Snowflake optimizer may decide not to rewrite the query to use it. The optimizer evaluates factors such as freshness, cost, and efficiency before choosing whether or not to substitute the materialized view.

NEW QUESTION # 33
A company enabled replication between accounts and is ready to replicate data across regions in the same cloud service provider.
The primary database object is : PROD_AWS_EAST. Location : AWS_EAST
The secondary database object is : PROD_AWS_WEST. Location : AWS_WEST
What command and account location is needed to refresh the data?

A. Location : AWS_WEST
Command : ALTER DATABASE PROD_AWS_WEST REFRESH;
B. Location : AWS_EAST
Command : ALTER DATABASE PROD_AWS_WEST REFRESH;
C. Location : AWS_EAST
Command : REFRESH DATABASE PROD_AWS_WEST REFRESH;
D. Location : AWS_WEST
Command : REFRESH DATABASE PROD_AWS_WEST REFRESH;

Answer: A

Explanation:
To update a secondary database with changes from its primary, the ALTER DATABASE <secondary_db> REFRESH; command must be executed in the secondary account/region. In this case, that means running the command on PROD_AWS_WEST in AWS_WEST.

NEW QUESTION # 34
A large international company with many operating regions requires data to be shared bi-directionally among all offices (head office to regional offices and regional offices among themselves). This company is a Snowflake account holder with European operations deployed in Microsoft Azure (single region) while North American regional offices are using AWS (single region) as their deployment cloud. This setup is required to comply with Personal Identifiable Information (PII) regulations in some of the European countries. The corporate head office is in Europe.
How can this data be shared bi-directionally, while MINIMIZING costs?

A. Use the PUT command to move files to an Amazon S3 bucket and Azure Blobs, and use an external file management application to move files within the corporate VPC.
B. Use bi-directional data sharing among offices in the same region and replication among offices across the continents.
C. Use data replication everywhere to reduce costs associated with same-region sharing.
D. Move all the Snowflake accounts to a single region, and implement data sharing.

Answer: B

Explanation:
Direct data sharing is the most cost-efficient method when accounts are in the same region and cloud. For cross-continent or cross-cloud sharing, Snowflake requires replication. Combining both - data sharing within the same region and replication across continents - ensures compliance, minimizes costs, and enables bi-directional sharing.

NEW QUESTION # 35
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool. The Administrator has noticed that the ANALYST users keep two small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

A. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
B. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
C. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend and auto-resume. Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.
D. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.

Answer: D

Explanation:
A multi-cluster warehouse with MIN_CLUSTERS = 2 matches typical usage, while auto-suspend and auto-resume ensure resources are only used when needed. Allowing auto-scaling handles peak periods efficiently, and giving USAGE (not MANAGE) to ANALYST users is secure and appropriate.

NEW QUESTION # 36
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTS rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTS that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

A. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
B. There should be another 2XL warehouse deployed to handle a portion of the load queries.
C. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
D. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.

Answer: C

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.

NEW QUESTION # 37
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