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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Objectives
Account and Resource Administration	- Account configuration and management 1. Resource monitors and governance basics 2. Users, roles, and permissions
Performance and Monitoring	- Performance tuning and optimization 1. Warehouse sizing and scaling strategies 2. Query performance analysis
Data Loading and Unloading	- Bulk and continuous data ingestion 1. Stages and file formats 2. COPY INTO operations
Security and Access Control	- Authentication and authorization 1. Network policies and secure access 2. Role-based access control (RBAC)
Data Protection and Recovery	- Backup and recovery mechanisms 1. Time Travel and Fail-safe concepts 2. Cloning and data recovery strategies
Snowflake Architecture and Virtual Warehouses	- Snowflake architecture concepts 1. Virtual warehouse usage and scaling 2. Separation of storage and compute

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q30-Q35):

NEW QUESTION # 30
What SCIM integration types are supported in Snowflake? (Choose three.)

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

Answer: B,C,E

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 # 31
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(),
OBJECT_CONSTRUCT(*)
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()));
D. SHOW WAREHOUSES;
INSERT INTO VWH_META
SELECT CURRENT_TIMESTAMP(),
FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(1)));

Answer: A

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 # 32
In which scenario will use of an external table simplify a data pipeline?

A. When accessing a Snowflake table from an external database within the same region
B. When accessing a Snowflake table from a relational database
C. When continuously writing data from a Snowflake table to external storage
D. When accessing a Snowflake table that references data files located in cloud storage

Answer: D

Explanation:
External tables in Snowflake are specifically designed to reference and query data files located in external cloud storage. This simplifies data pipelines by allowing direct SQL access to external data without the need for loading it into Snowflake.

NEW QUESTION # 33
Which type of listing in the Snowflake Marketplace can be added and queried immediately?

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

Answer: A

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 # 34
MY_TABLE is a table that has not been updated or modified for several days. On 01 January 2021 at 07:01, a user executed a query to update this table. The query ID is '8e5d0ca9-005e-44e6-b858-a8f5b37c5726'. It is now 07:30 on the same day.
Which queries will allow the user to view the historical data that was in the table before this query was executed? (Choose three.)

A. SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
B. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);
C. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);
D. SELECT * FROM my_table AT(OFFSET => -60*30);
E. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
F. SELECT * FROM my_table WITH TIME TRAVEL(OFFSET => -60*30);

Answer: A,B,D

Explanation:
Use Time Travel to view past table versions: (B) selects the table "as of" 07:00 via AT(TIMESTAMP => ...); (E) selects "as of" 30 minutes earlier via AT(OFFSET => -60*30); (F) selects the state before the specified statement via BEFORE(STATEMENT => '<query_id>').

NEW QUESTION # 35
......

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