SNOWFLAKE ARA-C01 EXAM COLLECTION | ARA-C01 RELIABLE DUMPS SHEET

Snowflake ARA-C01 Exam Collection | ARA-C01 Reliable Dumps Sheet

Snowflake ARA-C01 Exam Collection | ARA-C01 Reliable Dumps Sheet

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Tags: ARA-C01 Exam Collection, ARA-C01 Reliable Dumps Sheet, ARA-C01 Test Review, Valid ARA-C01 Exam Dumps, Study ARA-C01 Test

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is designed for experienced Snowflake architects who are looking to take their skills and knowledge to the next level. ARA-C01 exam is the culmination of the SnowPro Certification program and is the highest level of certification that Snowflake offers. It is a challenging exam that covers a wide range of topics related to Snowflake architecture, including data modeling, security, performance, and scalability.

Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is designed to test the ability of experienced Snowflake architects to design and implement complex Snowflake solutions. SnowPro Advanced Architect Certification certification exam is intended for professionals who have extensive experience in architecting Snowflake solutions and want to demonstrate their expertise and proficiency. ARA-C01 Exam assesses the candidate's ability to design, plan, and implement Snowflake solutions in a variety of scenarios.

>> Snowflake ARA-C01 Exam Collection <<

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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) is a professional certification exam designed to validate the skills and knowledge of data architects and engineers who specialize in designing and implementing complex Snowflake cloud data platforms. SnowPro Advanced Architect Certification certification exam is recognized globally by companies that use Snowflake for their data management, warehousing, and analytics needs.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q11-Q16):

NEW QUESTION # 11
Which privilege grants ability to set a Column-level Security masking policy on a table or view column.

  • A. APPLY MASKING POLICY
  • B. APPLY MASK
  • C. ALTER COLUMN MASK

Answer: A


NEW QUESTION # 12
An Architect has chosen to separate their Snowflake Production and QA environments using two separate Snowflake accounts.
The QA account is intended to run and test changes on data and database objects before pushing those changes to the Production account. It is a requirement that all database objects and data in the QA account need to be an exact copy of the database objects, including privileges and data in the Production account on at least a nightly basis.
Which is the LEAST complex approach to use to populate the QA account with the Production account's data and database objects on a nightly basis?

  • A. 1) Create a share in the Production account for each database
    2) Share access to the QA account as a Consumer
    3) The QA account creates a database directly from each share
    4) Create clones of those databases on a nightly basis
    5) Run tests directly on those cloned databases
  • B. 1) In the Production account, create an external function that connects into the QA account and returns all the data for one specific table
    2) Run the external function as part of a stored procedure that loops through each table in the Production account and populates each table in the QA account
  • C. 1) Enable replication for each database in the Production account
    2) Create replica databases in the QA account
    3) Create clones of the replica databases on a nightly basis
    4) Run tests directly on those cloned databases
  • D. 1) Create a stage in the Production account
    2) Create a stage in the QA account that points to the same external object-storage location
    3) Create a task that runs nightly to unload each table in the Production account into the stage
    4) Use Snowpipe to populate the QA account

Answer: A


NEW QUESTION # 13
An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?

  • A. Materialized view
  • B. Time Travel
  • C. Search optimization service
  • D. Zero-copy cloning
  • E. Secure views

Answer: D

Explanation:
Zero-copy cloning is a Snowflake feature that can be used to save quarter-end financial results for the previous six years. Zero-copy cloning allows creating a copy of a database, schema, table, or view without duplicating the data or metadata. The clone shares the same data files as the original object, but tracks any changes made to the clone or the original separately. Zero-copy cloning can be used to create snapshots of data at different points in time, such as quarter-end financial results, and preserve them for future analysis or comparison. Zero-copy cloning is fast, efficient, and does not consume any additional storage space unless the data is modified1.
References:
* Zero-Copy Cloning | Snowflake Documentation


NEW QUESTION # 14
Which of the following are characteristics of Snowflake's parameter hierarchy?

  • A. Session parameters override virtual warehouse parameters.
  • B. Schema parameters override account parameters.
  • C. Virtual warehouse parameters override user parameters.
  • D. Table parameters override virtual warehouse parameters.

Answer: C

Explanation:
In Snowflake's parameter hierarchy, virtual warehouse parameters take precedence over user parameters. This hierarchy is designed to ensure that settings at the virtual warehouse level, which typically reflect the requirements of a specific workload or set of queries, override the preferences set at the individual user level. This helps maintain consistent performance and resource utilization as specified by the administrators managing the virtual warehouses.
Reference: Snowflake documentation on parameter hierarchy, found in the SnowPro Advanced: Architect learning materials.


NEW QUESTION # 15
Which statements describe characteristics of the use of materialized views in Snowflake? (Choose two.)

  • A. They can include context functions, such as CURRENT_TIME().
  • B. They cannot include nested subqueries.
  • C. They can support MIN and MAX aggregates.
  • D. They can support inner joins, but not outer joins.
  • E. They can include ORDER BY clauses.

Answer: B,C

Explanation:
Explanation
According to the Snowflake documentation, materialized views have some limitations on the query specification that defines them. One of these limitations is that they cannot include nested subqueries, such as subqueries in the FROM clause or scalar subqueries in the SELECT list. Another limitation is that they cannot include ORDER BY clauses, context functions (such as CURRENT_TIME()), or outer joins. However, materialized views can support MIN and MAX aggregates, as well as other aggregate functions, such as SUM, COUNT, and AVG.
References:
* Limitations on Creating Materialized Views | Snowflake Documentation
* Working with Materialized Views | Snowflake Documentation


NEW QUESTION # 16
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