Snowflake - Fantastic Free ADA-C02 Exam Questions

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Snowflake ADA-C02 Exam Syllabus Topics:

Section	Objectives
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
Account and Resource Administration	- Account configuration and management 1. Resource monitors and governance basics 2. Users, roles, and permissions
Data Protection and Recovery	- Backup and recovery mechanisms 1. Cloning and data recovery strategies 2. Time Travel and Fail-safe concepts
Snowflake Architecture and Virtual Warehouses	- Snowflake architecture concepts 1. Virtual warehouse usage and scaling 2. Separation of storage and compute
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 Sample Questions (Q35-Q40):

NEW QUESTION # 35
An Administrator loads data into a staging table every day. Once loaded, users from several different departments perform transformations on the data and load it into different production tables.
How should the staging table be created and used to MINIMIZE storage costs and MAXIMIZE performance?

A. Create it as a transient table with a retention time of 0 days.
B. Create it as an external table, which will not incur Time Travel costs.
C. Create it as a temporary table with a retention time of 0 days.
D. Create it as a permanent table with a retention time of 0 days.

Answer: A

Explanation:
A transient table is best suited for staging because it avoids long-term storage costs by not maintaining Fail-safe and can have Time Travel retention set to 0 days. This minimizes storage costs while still providing performance comparable to permanent tables, making it the optimal choice for daily staging data.

NEW QUESTION # 36
What session parameter can be used to test the integrity of secure views based on the account that is accessing that view?

A. SIMULATED DATA SHARING CONSUMER
B. PRODUCER TEST ACCT
C. MIMIC CONSUMER ACCOUNT
D. TEST ACCOUNT ID

Answer: C

Explanation:
The session parameter MIMIC_CONSUMER_ACCOUNT allows a data provider to test how secure views will appear to a specific consumer account. This ensures the integrity and correctness of secure views before they are shared.

NEW QUESTION # 37
What access control policy will be put into place when future grants are assigned to both database and schema objects?

A. Database, privileges will take precedence over schema privileges.
B. An access policy combining both the database object and the schema object will be used, with the most restrictive policy taking precedence.
C. An access policy combining both the database object and the schema object will be used, with the most permissive policy taking precedence.
D. Schema privileges will take precedence over database privileges.

Answer: D

Explanation:
When future grants are set at both the database and schema levels, schema-level future grants take precedence over database-level grants for objects created within that schema.

NEW QUESTION # 38
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 my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
C. SELECT * FROM my_table BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
D. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);
E. SELECT * FROM my_table AT(OFFSET => -60*30);
F. SELECT * FROM TIME_TRAVEL('MY_TABLE', 2021-01-01 07:00:00);

Answer: C,D,E

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 # 39
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 2. Set the warehouse to auto-resume and auto-suspend, and give USAGE privileges to the ANALYST role. Allow the warehouse to auto-scale.
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 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 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.

Answer: A

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 # 40
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