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Snowflake ADA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Performance and Monitoring20%- Query history and profiling
- Clustering keys
- Resource monitoring and management
- Query performance optimization
Topic 2: Virtual Warehouses20%- Warehouse sizing and scaling
- Warehouse performance optimization
- Resource monitors
- Virtual warehouse creation and management
Topic 3: Data Protection and Disaster Recovery15%- Data replication
- Backup and restore procedures
- Disaster recovery planning
- Snowflake Marketplace
Topic 4: Data Management20%- Data loading and unloading
- Data sharing and replication
- Database object management
- Time Travel and Fail-safe
Topic 5: Account Management and Security25%- Role-Based Access Control (RBAC)
- Security and governance management
- User management and authentication
- Account management and billing

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q40-Q45):

NEW QUESTION # 40
A Snowflake Administrator has a multi-cluster virtual warehouse and is using the Snowflake Business-Critical edition. The minimum number of clusters is set to 2 and the maximum number of clusters is set to 10. This configuration works well for the standard workload, rarely exceeding 5 running clusters. However, once a month the Administrator notes that there are a few complex long-running queries that are causing increased queue time and the warehouse reaches its maximum limit at 10 clusters.
Which solutions will address the issues happening once a month? (Choose two.)

Answer: B,E

Explanation:
The best way to handle the once-a-month complex workload is to use a separate, appropriately-sized warehouse dedicated to that workload and to optimize the complex queries with techniques like clustering keys or materialized views. These approaches resolve queueing and performance issues without overspending on always running more clusters.


NEW QUESTION # 41
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 # 42
In general, the monthly billing for database replication is proportional to which variables? (Choose two.)

Answer: A,D

Explanation:
Replication billing is proportional to the amount of table data in the primary database that changes and needs to be replicated.
The frequency of secondary database refreshes determines how often changed data is transferred, directly impacting replication costs.


NEW QUESTION # 43
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: B

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 # 44
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?

Answer: A

Explanation:
Setting AUTO_SUSPEND to 0 or NULL prevents the warehouse from suspending, which keeps the data cache warm. This improves performance for dashboards and workloads that frequently run similar queries, since the warehouse avoids cache loss from suspending and resuming.


NEW QUESTION # 45
......

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