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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Performance Monitoring and Tuning	20%	- Query performance analysis 1. Indexing and clustering keys optimization 2. Materialized views and search optimization 3. Query profiling and execution plans - System monitoring and troubleshooting 1. Error logging and troubleshooting techniques 2. Workload isolation and concurrency control 3. Account and warehouse usage metrics
Data Sharing and Marketplace	10%	- Secure data sharing 1. Shares, readers and data providers 2. Secure views and data consumption - Snowflake Marketplace 1. Listing and consuming data products 2. Marketplace administration and governance
Account and Security Administration	30%	- Account configuration and management 1. Edition and feature configuration 2. Organization and account structures 3. Cost management and billing - Access control and security 1. User and privilege management 2. Data security and masking policies 3. Role-based access control (RBAC) design 4. Authentication and network policies
Resource Management and Optimization	25%	- Database and object management 1. Data retention and time travel 2. Storage management and clustering 3. Schema design and object lifecycle - Virtual warehouse administration 1. Warehouse sizing, scaling and suspension 2. Workload management and resource monitoring 3. Cost optimization strategies
Business Continuity and Disaster Recovery	15%	- Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives - Data protection and replication 1. Database cloning and backup strategies 2. Time travel and fail-safe configuration 3. Cross-region and cross-cloud replication

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q59-Q64):

NEW QUESTION # 59
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 bi-directional data sharing among offices in the same region and replication among offices across the continents.
B. 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.
C. Move all the Snowflake accounts to a single region, and implement data sharing.
D. Use data replication everywhere to reduce costs associated with same-region sharing.

Answer: A

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 # 60
The following commands were executed:
Grant usage on database PROD to role PROD_ANALYST;
Grant usage on database PROD to role PROD_SUPERVISOR;
Grant ALL PRIVILEGES on schema PROD.WORKING to role PROD_ANALYST;
Grant ALL PRIVILEGES on schema PROD.WORKING to role PROD_SUPERVISOR;
Grant role PROD_ANALYST to user A;
Grant role PROD_SUPERVISOR to user B;
What authority does each user have on the WORKING schema?

A. Only user B can create tables, because all privileges were transferred to PROD_SUPERVISOR.
B. All existing tables in schema PROD.WORKING will be visible to both users.
C. Tables created by either user A or user B will be visible to both users.
D. Both user A and user B can create tables in the PROD.WORKING schema.

Answer: D

Explanation:
Granting ALL PRIVILEGES on the schema PROD.WORKING to both roles (PROD_ANALYST and PROD_SUPERVISOR) gives each user (A and B) full schema-level rights, including the ability to create tables. Since both roles received these grants independently, both users can create tables in the schema.

NEW QUESTION # 61
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

A. Deleting data from a table
B. Renaming a table
C. Unpublishing the data listing
D. Adding region availability to the listing
E. Dropping a column from a table

Answer: B,E

Explanation:
Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.

NEW QUESTION # 62
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

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

Answer: B

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 # 63
What Snowflake capabilities are commonly used in rollback scenarios? (Choose two.)

A. CREATE TABLE prd_table_bkp CLONE prd_table BEFORE (STATEMENT => 'problematic_query_id');
B. Contact Snowflake Support to retrieve Fail-safe data.
C. CREATE TABLE prd_table_bkp as SELECT * from table(result_scan('problematic_query_id'));
D. ALTER TABLE prd_table SWAP WITH prd_table_bkp;
E. SELECT SYSTEM$CANCEL_QUERY('problematic_query_id');

Answer: A,D

Explanation:
Creating a clone of a table at a point in time before a problematic statement uses Snowflake Time Travel to restore the table’s previous state without copying data. This allows recovery of the table as it existed before the issue occurred.
Swapping tables enables a fast rollback by exchanging the original production table with the restored backup table. This operation is metadata-only and allows immediate restoration of the previous version of the data with minimal downtime.

NEW QUESTION # 64
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