ADA-C02 Valid Test Simulator | ADA-C02 Valid Practice Materials

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Snowflake ADA-C02 Exam Syllabus Topics:

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

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Free PDF Quiz 2026 Efficient Snowflake ADA-C02: SnowPro Advanced Administrator ADA-C02 Valid Test Simulator

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Snowflake SnowPro Advanced Administrator ADA-C02 Sample Questions (Q47-Q52):

NEW QUESTION # 47
What is required for stages, without credentials, to limit data exfiltration after a storage Integration and associated stages are created?

A. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = true;
B. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = true;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = true;
C. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = false;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = false;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = false;
D. ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_CREATION = true;
ALTER ACCOUNT my_account SET
REQUIRE_STORAGE_INTEGRATION_FOR_STAGE_OPERATION = true;
ALTER ACCOUNT my_account SET
PREVENT_UNLOAD_TO_INLINE_URL = false;

Answer: B

Explanation:
To prevent data exfiltration, Snowflake requires storage integrations for both stage creation and stage operations, ensuring that unmanaged external locations cannot be used. Additionally, setting PREVENT_UNLOAD_TO_INLINE_URL = true blocks unloading directly to unsecured inline URLs. This configuration enforces secure stage usage tied to storage integrations.

NEW QUESTION # 48
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 permanent table with a retention time of 0 days.
B. Create it as a temporary table with a retention time of 0 days.
C. Create it as an external table, which will not incur Time Travel costs.
D. Create it as a transient table with a retention time of 0 days.

Answer: D

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 # 49
Which actions are considered breaking changes to data that is shared with consumers in the Snowflake Marketplace? (Choose two.)

A. Unpublishing the data listing
B. Deleting data from a table
C. Adding region availability to the listing
D. Dropping a column from a table
E. Renaming a table

Answer: D,E

Explanation:
Dropping a column from a table or renaming a table breaks the shared schema and can cause dependent queries to fail for consumers. These are considered breaking changes to shared data in the Snowflake Marketplace.

NEW QUESTION # 50
A Snowflake customer is experiencing higher costs than anticipated while migrating their data warehouse workloads from on-premises to Snowflake. The migration workloads have been deployed on a single warehouse and are characterized by a large number of small INSERTS rather than bulk loading of large extracts. That single warehouse has been configured as a single cluster, 2XL because there are many parallel INSERTS that are scheduled during nightly loads.
How can the Administrator reduce the costs, while minimizing the overall load times, for migrating data warehouse history?

A. The warehouse should be kept as a SMALL or XSMALL and configured as a multi-cluster warehouse to handle the parallel load queries.
B. The INSERTS should be converted to several tables to avoid contention on large tables that slows down query processing.
C. There should be another 2XL warehouse deployed to handle a portion of the load queries.
D. The 2XL warehouse should be changed to 4XL to increase the number of threads available for parallel load queries.

Answer: A

Explanation:
For many small, parallel INSERTS, using a multi-cluster warehouse with smaller size (SMALL or XSMALL) allows more concurrent queries to run efficiently and reduces costs compared to a single large warehouse. This configuration improves concurrency without unnecessary compute expense.

NEW QUESTION # 51
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 sample bernoulli (20);
B. select * from LINEITEM tablesample system (20) seed (1);
C. select * from LINEITEM tablesample block (20 rows);
D. select * from LINEITEM sample system (20);

Answer: D

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 # 52
......

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