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Snowflake ADA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Data Sharing and Marketplace10%- Snowflake Marketplace
  • 1. Listing and consuming data products
  • 2. Marketplace administration and governance
- Secure data sharing
  • 1. Secure views and data consumption
  • 2. Shares, readers and data providers
Resource Management and Optimization25%- Database and object management
  • 1. Storage management and clustering
  • 2. Data retention and time travel
  • 3. Schema design and object lifecycle
- Virtual warehouse administration
  • 1. Cost optimization strategies
  • 2. Warehouse sizing, scaling and suspension
  • 3. Workload management and resource monitoring
Business Continuity and Disaster Recovery15%- Disaster recovery planning
  • 1. Recovery time and point objectives
  • 2. Failover and failback procedures
- Data protection and replication
  • 1. Cross-region and cross-cloud replication
  • 2. Time travel and fail-safe configuration
  • 3. Database cloning and backup strategies
Account and Security Administration30%- Account configuration and management
  • 1. Edition and feature configuration
  • 2. Cost management and billing
  • 3. Organization and account structures
- Access control and security
  • 1. Role-based access control (RBAC) design
  • 2. Authentication and network policies
  • 3. User and privilege management
  • 4. Data security and masking policies
Performance Monitoring and Tuning20%- Query performance analysis
  • 1. Indexing and clustering keys optimization
  • 2. Query profiling and execution plans
  • 3. Materialized views and search optimization
- System monitoring and troubleshooting
  • 1. Error logging and troubleshooting techniques
  • 2. Workload isolation and concurrency control
  • 3. Account and warehouse usage metrics

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q27-Q32):

NEW QUESTION # 27
An Administrator needs to configure a virtual warehouse in Snowflake for a new use case with these details:
1. There will be 50-100 concurrent users running reports
2. Minimize costs based on the number of active users at a given time
3. The virtual warehouse should suspend and resume automatically based on user activity
Which configuration will meet these requirements?

Answer: B

Explanation:
Supporting 50-100 concurrent users requires a multi-cluster warehouse so compute resources can scale to handle high concurrency. Setting a maximum cluster count allows Snowflake to automatically add clusters when query demand increases and reduce them when demand drops, which helps minimize cost based on active users. Enabling auto_suspend and auto_resume ensures the warehouse automatically stops when idle and restarts when queries arrive, further optimizing cost and operational efficiency.


NEW QUESTION # 28
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?

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 # 29
An Administrator has been asked to support the company's application team need to build a loyalty program for its customers. The customer table contains Personal Identifiable Information (PII), and the application team's role is DEVELOPER.
CREATE TABLE customer_data (
customer_first_name string,
customer_last_name string,
customer_address string,
customer_email string,
... some other columns,
);
The application team would like to access the customer data, but the email field must be obfuscated.
How can the Administrator protect the sensitive information, while maintaining the usability of the data?

Answer: A

Explanation:
The correct approach is to apply a dynamic data masking policy on the sensitive customer_email column. Using the CURRENT_ROLE context function in the masking policy allows the Administrator to obfuscate the email for the DEVELOPER role while maintaining usability of the data for other authorized roles.


NEW QUESTION # 30
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

Answer: D,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 # 31
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?

Answer: C

Explanation:
When building secure views for data sharing, the CURRENT_ACCOUNT function is used to identify and authorize the consuming account. This ensures that row-level security can be enforced per consumer account accessing the shared data.


NEW QUESTION # 32
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