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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Examinations ADA-C02 Actual Questions & ADA-C02 Latest Test Question

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q58-Q63):

NEW QUESTION # 58
What SCIM integration types are supported in Snowflake? (Choose three.)

A. Duo Security Provisioning Connector
B. Okta
C. Google Cloud Platform (GCP)
D. Custom
E. Amazon Web Services (AWS)
F. Azure Active Directory (Azure AD)

Answer: B,D,F

Explanation:
Snowflake supports SCIM integrations with Okta, Azure Active Directory (Azure AD), and custom SCIM integrations. These allow automated provisioning and de-provisioning of users and roles. SCIM is not provided directly through AWS, GCP, or Duo.

NEW QUESTION # 59
For Snowflake network policies, what will occur when the account level and user level network policies are both defined?

A. The user_level network policies will not be supported.
B. A network policy error will be generated with no definitions provided.
C. The account_level policy will override the user_level policy.
D. The user_level policy will override the account_level policy.

Answer: D

Explanation:
When both account-level and user-level network policies are defined in Snowflake, the user-level policy overrides the account-level policy for that specific user.

NEW QUESTION # 60
A Snowflake Administrator needs to set up Time Travel for a presentation area that includes facts and dimensions tables, and receives a lot of meaningless and erroneous IoT data. Time Travel is being used as a component of the company's data quality process in which the ingestion pipeline should revert to a known quality data state if any anomalies are detected in the latest load. Data from the past 30 days may have to be retrieved because of latencies in the data acquisition process.
According to best practices, how should these requirements be met? (Choose two.)

A. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
B. The fact and dimension tables should be cloned together using the same Time Travel options to reduce potential referential integrity issues with the restored data.
C. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
D. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
E. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.

Answer: B,E

Explanation:
To ensure consistent recovery, fact and dimension tables must have the same DATA_RETENTION_TIME_IN_DAYS, so they can be restored to the same point in time.
Cloning the fact and dimension tables together with consistent Time Travel options ensures data integrity and avoids referential mismatches when reverting to a prior state.

NEW QUESTION # 61
A team of developers created a new schema for a new project. The developers are assigned the role DEV_TEAM which was set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE DEV_TEAM;
GRANT USAGE, CREATE SCHEMA ON DATABASE DEV_DB01 TO ROLE DEV_TEAM;
GRANT USAGE ON WAREHOUSE DEV_WH TO ROLE DEV_TEAM;
Each team member's access is set up using the following statements:
USE ROLE SECURITYADMIN;
CREATE ROLE JDOE_PROFILE;
CREATE USER JDOE LOGIN_NAME = 'JDOE' DEFAULT ROLE='JDOE_PROFILE';
GRANT ROLE JDOE_PROFILE TO USER JDOE;
GRANT ROLE DEV_TEAM TO ROLE JDOE_PROFILE;
New tables created by any of the developers are not accessible by the team as a whole.
How can an Administrator address this problem?

A. Set up the new schema as a managed-access schema.
B. Assign usage privilege on the virtual warehouse DEV_WH to the role JDOE_PROFILE.
C. Set up future grants on the newly-created schemas.
D. Assign ownership privilege to DEV_TEAM on the newly-created schema.

Answer: C

Explanation:
Future grants allow privileges to be automatically granted on objects created in the future within a schema. By configuring future grants on the schema, privileges such as SELECT can automatically be granted to the DEV_TEAM role whenever new tables are created. This ensures that all developers using the DEV_TEAM role can access newly created tables without requiring manual privilege grants after each table creation.

NEW QUESTION # 62
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?

A. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = false;
B. create or replace warehouse reporting_wh
warehouse_size = xxxlarge
auto_suspend = 60
auto_resume = true;
C. create or replace warehouse reporting_wh
warehouse_size = medium
auto_suspend = 600
auto_resume = true;
D. create or replace warehouse reporting_wh
warehouse_size = medium
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = true;

Answer: D

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 # 63
......

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