Free PDF Snowflake - ADA-C02 - Authoritative Exam SnowPro Advanced Administrator ADA-C02 Torrent

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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. Workload management and resource monitoring 3. Cost optimization strategies - Database and object management 1. Schema design and object lifecycle 2. Storage management and clustering 3. Data retention and time travel
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
Account and Security Administration	30%	- Access control and security 1. Authentication and network policies 2. Role-based access control (RBAC) design 3. User and privilege management 4. Data security and masking policies - Account configuration and management 1. Organization and account structures 2. Cost management and billing 3. Edition and feature configuration
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. Query profiling and execution plans 2. Materialized views and search optimization 3. Indexing and clustering keys optimization
Business Continuity and Disaster Recovery	15%	- Disaster recovery planning 1. Failover and failback procedures 2. Recovery time and point objectives - Data protection and replication 1. Database cloning and backup strategies 2. Cross-region and cross-cloud replication 3. Time travel and fail-safe configuration

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q13-Q18):

NEW QUESTION # 13
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. Related data should not be placed together in the same schema. Facts and dimension tables should each have their own schemas.
B. Only TRANSIENT tables should be used to ensure referential integrity between the fact and dimension tables.
C. The DATA_RETENTION_TIME_IN_DAYS should be kept at the account level and never used for lower level containers (databases and schemas).
D. 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.
E. The fact and dimension tables should have the same DATA_RETENTION_TIME_IN_DAYS.

Answer: D,E

Explanation:
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.

NEW QUESTION # 14
What are characteristics of Dynamic Data Masking? (Choose two.)

A. A single masking policy can be applied to columns in different tables.
B. A masking policy that is currently set on a table can be dropped.
C. A single masking policy can be applied to columns with different data types.
D. The role that creates the masking policy will always see unmasked data in query results.
E. A masking policy can be applied to the VALUE column of an external table.

Answer: A,B

Explanation:
A masking policy applied to a table or column can be dropped or replaced as needed.
The same masking policy can be reused and applied to columns in different tables.

NEW QUESTION # 15
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 SYSADMIN
C. Any role with GRANT USAGE on SECURITY INTEGRATION
D. ACCOUNTADMIN and SECURITYADMIN

Answer: D

Explanation:
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.

NEW QUESTION # 16
A company has many users in the role ANALYST who routinely query Snowflake through a reporting tool. The Administrator has noticed that the ANALYST users keep two small clusters busy all of the time, and occasionally they need three or four clusters of that size.
Based on this scenario, how should the Administrator set up a virtual warehouse to MOST efficiently support this group of users?

A. Create four virtual warehouses (sized Small through XL) and set them to auto-suspend and auto-resume. Have users in the ANALYST role select the appropriate warehouse based on how many queries are being run.
B. Create a standard X-Large warehouse, which is equivalent to four small clusters. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role.
C. Create a multi-cluster warehouse with MIN_CLUSTERS set to 1. Give MANAGE privileges to the ANALYST role so this group can start and stop the warehouse, and increase the number of clusters as needed.
D. Create a multi-cluster warehouse with MIN_CLUSTERS set to 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.

Answer: D

Explanation:
A multi-cluster warehouse with MIN_CLUSTERS = 2 matches typical usage, while auto-suspend and auto-resume ensure resources are only used when needed. Allowing auto-scaling handles peak periods efficiently, and giving USAGE (not MANAGE) to ANALYST users is secure and appropriate.

NEW QUESTION # 17
What Snowflake capabilities are commonly used in rollback scenarios? (Choose two.)

A. ALTER TABLE prd_table SWAP WITH prd_table_bkp;
B. Contact Snowflake Support to retrieve Fail-safe data.
C. SELECT SYSTEM$CANCEL_QUERY('problematic_query_id');
D. CREATE TABLE prd_table_bkp CLONE prd_table BEFORE (STATEMENT => 'problematic_query_id');
E. CREATE TABLE prd_table_bkp as SELECT * from table(result_scan('problematic_query_id'));

Answer: A,D

Explanation:
Creating a clone of a table at a point in time before a problematic statement uses Snowflake Time Travel to restore the table’s previous state without copying data. This allows recovery of the table as it existed before the issue occurred.
Swapping tables enables a fast rollback by exchanging the original production table with the restored backup table. This operation is metadata-only and allows immediate restoration of the previous version of the data with minimal downtime.

NEW QUESTION # 18
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