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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Administrator ADA-C02 ADA-C02 Prüfungsfragen mit Lösungen (Q23-Q28):

23. Frage
What role or roles should be used to properly create the object required to setup OAuth 2.0 integration?

A. ACCOUNTADMIN and SECURITYADMIN
B. Any role with GRANT USAGE on SECURITY INTEGRATION
C. ACCOUNTADMIN only
D. ACCOUNTADMIN and SYSADMIN

Antwort: A

Begründung:
Creating an OAuth 2.0 security integration requires elevated security privileges. Snowflake requires either the ACCOUNTADMIN role or the SECURITYADMIN role to properly create and manage the security integration object.

24. Frage
An Administrator receives data from a Snowflake partner. The partner is sharing a dataset that contains multiple secure views. The Administrator would like to configure the data so that only certain roles can see certain secure views.
How can this be accomplished?

A. Apply RBAC directly onto the partner's shared secure views.
B. Clone the data and insert it into a company-owned share and apply the desired RBAC on the new tables.
C. Create views over the incoming shared database and apply the desired RBAC onto these views.
D. Individually grant imported privileges onto the schema in the share.

Antwort: C

Begründung:
Permissions cannot be applied directly to objects in a shared database. To enforce role-based access, the Administrator must create views over the shared secure views in a local database and then apply RBAC privileges to those new views. This allows controlling which roles can see which data.

25. Frage
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(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(SELECT LAST_QUERY_ID(-1)));

Antwort: A

Begründung:
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.

26. Frage
What is a characteristic of Snowflake's transaction locking and concurrency modeling?

A. A deadlock cannot occur in Snowflake, since concurrently executed queries and DML statements do not block one another.
B. If two queries are concurrently executed against the same table, one of the two queries will be blocked until the other query completes.
C. Queries executed within a given transaction see that transaction's uncommitted changes.
D. Transaction locking in Snowflake is enforced exclusively at the row and table levels.

Antwort: A

Begründung:
Snowflake uses multi-version concurrency control (MVCC), which allows queries and DML statements to operate without blocking each other. This architecture eliminates the possibility of deadlocks because transactions work on snapshots of data rather than locking rows or tables in ways that could cause contention.

27. Frage
If the query matches the definition, will Snowflake always dynamically rewrite the query to use a materialized view?

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

Antwort: A

Begründung:
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.

28. Frage
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