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Snowflake ADA-C02 Exam Syllabus Topics:

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

>> ADA-C02 Practical Information <<

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

NEW QUESTION # 40
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(LAST_QUERY_ID()));
B. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(), *
FROM TABLE(RESULT_SCAN(SELECT LAST_QUERY_ID(-1)));
C. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));
D. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
OBJECT_CONSTRUCT(*)
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID()));

Answer: D

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 # 41
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

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

Answer: D

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 # 42
Which type of listing in the Snowflake Marketplace can be added and queried immediately?

A. Personalized listing
B. Regional listing
C. Standard listing
D. Monetized listing

Answer: C

Explanation:
A standard listing in the Snowflake Marketplace can be immediately added to an account and queried without requiring provider approval or additional setup.

NEW QUESTION # 43
What SCIM integration types are supported in Snowflake? (Choose three.)

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

Answer: A,E,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 # 44
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

A. Create it as a permanent table with a retention time of 0 days.
B. Create it as an external table, which will not incur Time Travel costs.
C. Create it as a temporary table with a retention time of 0 days.
D. Create it as a transient table with a retention time of 0 days.

Answer: D

Explanation:
A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.

NEW QUESTION # 45
......

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