ADA-C02 Prüfungsübungen, ADA-C02 Musterprüfungsfragen

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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Resource Management and Optimization	25%	- Database and object management 1. Data retention and time travel 2. Schema design and object lifecycle 3. Storage management and clustering - Virtual warehouse administration 1. Warehouse sizing, scaling and suspension 2. Workload management and resource monitoring 3. Cost optimization strategies
Topic 2: Data Sharing and Marketplace	10%	- Secure data sharing 1. Secure views and data consumption 2. Shares, readers and data providers - Snowflake Marketplace 1. Marketplace administration and governance 2. Listing and consuming data products
Topic 3: Performance Monitoring and Tuning	20%	- System monitoring and troubleshooting 1. Error logging and troubleshooting techniques 2. Workload isolation and concurrency control 3. Account and warehouse usage metrics - Query performance analysis 1. Indexing and clustering keys optimization 2. Query profiling and execution plans 3. Materialized views and search optimization
Topic 4: Account and Security Administration	30%	- Account configuration and management 1. Edition and feature configuration 2. Cost management and billing 3. Organization and account structures - Access control and security 1. Data security and masking policies 2. Authentication and network policies 3. User and privilege management 4. Role-based access control (RBAC) design
Topic 5: Business Continuity and Disaster Recovery	15%	- Data protection and replication 1. Cross-region and cross-cloud replication 2. Time travel and fail-safe configuration 3. Database cloning and backup strategies - Disaster recovery planning 1. Recovery time and point objectives 2. Failover and failback procedures

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ADA-C02 Musterprüfungsfragen, ADA-C02 Deutsche Prüfungsfragen

Wir alle wissen, dass die Snowflake ADA-C02 Zertifizierungsprüfung in der IT-Branche eine zentrale Position darstellt. Aber die Kernfrage ist, dass es schwer ist, ein Snowflake ADA-C02 Zertifikat zu erhalten. Wir wissen genau, dass im Internet relevanten Prüfungsmaterialien von guter Qualität fehlen. Die Examsfragen und Antworten von ZertSoft können allen an den Zertifizierungsprüfungen teilnehmenden Prüflingen irgendwann die notwendigen Informationen liefern. Wir versprechen Ihnen, dass Sie Ihre Snowflake ADA-C02 Zertifizierungsprüfung einmalig bestehen können.

Snowflake SnowPro Advanced Administrator ADA-C02 ADA-C02 Prüfungsfragen mit Lösungen (Q42-Q47):

42. Frage
Which Snowflake objects can be managed using SCIM integration? (Choose two.)

A. Users
B. Stages
C. Roles
D. Shares
E. Warehouses

Antwort: A,C

Begründung:
SCIM integration in Snowflake is used to manage users and roles for automated provisioning and de-provisioning from external identity providers.

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

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

Antwort: B

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.

44. Frage
Which command can temporarily disable Multi-factor Authentication (MFA) for the Snowflake username user1 for 24 hours?

A. alter user user1 set HOURS_TO_BYPASS_MFA=24;
B. alter user user1 set DISABLE_MFA=1440;
C. alter user user1 set MINS_TO_BYPASS_MFA=1440;
D. alter user user1 set TEMPORARY_MFA_BYPASS=1440;

Antwort: C

Begründung:
The parameter MINS_TO_BYPASS_MFA controls how long MFA is bypassed for a user. Setting it to 1440 minutes (24 hours) temporarily disables MFA for that duration without revoking the user's MFA enrollment.

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

Antwort: D,E,F

Begründung:
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>').

46. Frage
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. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.
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. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
D. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
E. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.

Antwort: A,B

Begründung:
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.

47. Frage
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Unsere Prüfungsunterlage zu Snowflake ADA-C02（SnowPro Advanced Administrator ADA-C02）enthältet alle echten, originalen und richtigen Fragen und Antworten. Die Abdeckungsrate unserer Unterlage (Fragen und Antworten) zu Snowflake ADA-C02（SnowPro Advanced Administrator ADA-C02）ist normalerweise mehr als 98%.

ADA-C02 Musterprüfungsfragen: https://www.zertsoft.com/ADA-C02-pruefungsfragen.html