ADA-C02 Study Dumps & Updated ADA-C02 Test Cram

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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
Security and Access Control	- Authentication and authorization 1. Network policies and secure access 2. Role-based access control (RBAC)
Snowflake Architecture and Virtual Warehouses	- Snowflake architecture concepts 1. Separation of storage and compute 2. Virtual warehouse usage and scaling
Performance and Monitoring	- Performance tuning and optimization 1. Query performance analysis 2. Warehouse sizing and scaling strategies
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

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Realistic Snowflake ADA-C02 Exam Questions with Accurate Answers

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q14-Q19):

NEW QUESTION # 14
An Administrator needs to create a sample of the table LINEITEM. The sample should not be repeatable and the sampling function should take the data by blocks of rows.
What select command will generate a sample of 20% of the table?

A. select * from LINEITEM tablesample block (20 rows);
B. select * from LINEITEM sample system (20);
C. select * from LINEITEM sample bernoulli (20);
D. select * from LINEITEM tablesample system (20) seed (1);

Answer: B

Explanation:
SYSTEM sampling performs block sampling, meaning Snowflake selects entire blocks of rows rather than evaluating each row individually. This satisfies the requirement that the sampling function take data by blocks of rows. Using SYSTEM (20) returns approximately 20% of the table and, since no seed value is specified, the result is not repeatable.

NEW QUESTION # 15
Which Snowflake objects can be managed using SCIM integration? (Choose two.)

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

Answer: B,C

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

NEW QUESTION # 16
When adding secure views to a share in Snowflake, which function is needed to authorize users from another account to access rows in a base table?

A. CURRENT ROLE
B. CURRENT ACCOUNT
C. CURRENT CLIENT
D. CURRENT USER

Answer: B

Explanation:
When building secure views for data sharing, the CURRENT_ACCOUNT function is used to identify and authorize the consuming account. This ensures that row-level security can be enforced per consumer account accessing the shared data.

NEW QUESTION # 17
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 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.
B. 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.
C. 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.
D. 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.

Answer: B

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 # 18
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 BEFORE(STATEMENT => '8e5d0ca9-005e-44e6-b858-a8f5b37c5726');
D. SELECT * FROM my_table AT(OFFSET => -60*30);
E. SELECT * FROM my_table PRIOR TO STATEMENT '8e5d0ca9-005e-44e6-b858-a8f5b37c5726';
F. SELECT * FROM my_table AT(TIMESTAMP => '2021-01-01 07:00:00'::timestamp);

Answer: C,D,F

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 # 19
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