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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Protection and Recovery	- Backup and recovery mechanisms 1. Cloning and data recovery strategies 2. Time Travel and Fail-safe concepts
Topic 2: Snowflake Architecture and Virtual Warehouses	- Snowflake architecture concepts 1. Virtual warehouse usage and scaling 2. Separation of storage and compute
Topic 3: Performance and Monitoring	- Performance tuning and optimization 1. Warehouse sizing and scaling strategies 2. Query performance analysis
Topic 4: Security and Access Control	- Authentication and authorization 1. Network policies and secure access 2. Role-based access control (RBAC)
Topic 5: Account and Resource Administration	- Account configuration and management 1. Users, roles, and permissions 2. Resource monitors and governance basics
Topic 6: Data Loading and Unloading	- Bulk and continuous data ingestion 1. Stages and file formats 2. COPY INTO operations

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q21-Q26):

NEW QUESTION # 21
The following SQL command was executed:
Use role SECURITYADMIN;
Grant ownership
On future tables
In schema PROD.WORKING
To role PROD_WORKING_OWNER;
Grant role PROD_WORKING_OWNER to role SYSADMIN;
Use role ACCOUNTADMIN;
Create table PROD.WORKING.XYZ (value number);
Which role(s) can alter or drop table XYZ?

A. PROD_WORKING_OWNER, ACCOUNTADMIN, and SYSADMIN can alter or drop table XYZ.
B. Only the PROD_WORKING_OWNER role can alter or drop table XYZ.
C. Because ACCOUNTADMIN created the table, only the ACCOUNTADMIN role can alter or drop table XYZ.
D. SECURITYADMIN, SYSADMIN, and ACCOUNTADMIN can alter or drop table XYZ.

Answer: A

Explanation:
Although ACCOUNTADMIN created the table, the future ownership grant ensures ownership of new tables in PROD.WORKING is assigned to PROD_WORKING_OWNER. Since PROD_WORKING_OWNER was granted to SYSADMIN, both roles, along with ACCOUNTADMIN (which always has ultimate rights), can alter or drop the table XYZ.

NEW QUESTION # 22
In which scenario will use of an external table simplify a data pipeline?

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

Answer: A

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 # 23
What Snowflake capabilities are commonly used in rollback scenarios? (Choose two.)

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

Answer: B,E

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 # 24
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. No, because joins are not supported by materialized views.
C. No, because the materialized view may not be up-to-date.
D. Yes, because materialized views are always faster.

Answer: A

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 # 25
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 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.
B. 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.
C. 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.
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 # 26
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