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Snowflake ADA-C02 Exam Syllabus Topics:

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

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

NEW QUESTION # 59
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 = medium
auto_suspend = 600
auto_resume = true;
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 = xxxlarge
max_cluster_count = 10
scaling_policy = standard
auto_suspend = 600
auto_resume = false;
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 # 60
For Snowflake network policies, what will occur when the account level and user level network policies are both defined?

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

Answer: A

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 # 61
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?

A. CURRENT USER
B. CURRENT ACCOUNT
C. CURRENT ROLE
D. CURRENT CLIENT

Answer: B

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 # 62
A company has implemented Snowflake replication between two Snowflake accounts, both of which are running on a Snowflake Enterprise edition. The replication is for the database APP_DB containing only one schema, APP_SCHEMA. The company's time Travel retention policy is currently set for 30 days for both accounts. An Administrator has been asked to extend the time Travel retention policy to 60 days on the secondary database only.
How can this requirement be met?

A. Set the data retention policy on the primary database to 30 days and the schemas to 60 days.
B. Set the data retention policy on the primary database to 60 days.
C. Set the data retention policy on the schemas in the secondary database to 60 days.
D. Set the data retention policy on the secondary database to 60 days.

Answer: B

Explanation:
In Snowflake replication, Time Travel retention is determined by the primary database and is replicated to the secondary. The secondary cannot have a longer retention than the primary. To extend retention to 60 days on the secondary, the primary database’s retention must be increased to 60 days.

NEW QUESTION # 63
A Snowflake Administrator needs to persist all virtual warehouse configurations for auditing and backups. Given a table already exists with the following schema:
Table Name: VWH_META
Column 1: SNAPSHOT_TIME TIMESTAMP_NTZ
Column 2: CONFIG VARIANT
Which commands should be executed to persist the warehouse data at the time of execution in JSON format in the table VWH_META?

A. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
B. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
C. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
OBJECT_CONSTRUCT(*)
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));
D. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));

Answer: C

Explanation:
To persist warehouse configurations in JSON format, the result set from SHOW WAREHOUSES must be captured and converted into a variant object. Using OBJECT_CONSTRUCT(*) with RESULT_SCAN(LAST_QUERY_ID()) stores the full warehouse configuration snapshot as JSON in the CONFIG VARIANT column, along with the timestamp.

NEW QUESTION # 64
......

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