Snowflake ARA-C01 Reliable Test Review, ARA-C01 Exam Answers
Snowflake ARA-C01 Reliable Test Review, ARA-C01 Exam Answers
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To advance your career, take the SnowPro Advanced Architect Certification exam. Your SnowPro Advanced Architect Certification demonstrates your commitment to lifelong learning. Passing the SnowPro Advanced Architect Certification exam in one sitting is not a walk in the park. The Snowflake ARA-C01 exam preparation process takes a lot of time and effort. You have to put time and money into passing the SnowPro Advanced Architect Certification exam. The best method to reap the rewards of your investment in becoming an Snowflake Horizon & Snowflake is by using Snowflake ARA-C01 Exam Questions. Additionally, you can confidently study for the ARA-C01 exam.
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To pass the ARA-C01 exam is not an easy task. It is a challenging exam. However, proper planning and preparation with ARA-C01 exam questions can enable you to pass the ARA-C01 exam easily. As far as the Snowflake ARA-C01 Practice Test are concerned, these ARA-C01 Practice Test questions are designed and verified by Snowflake ARA-C01 exam trainers. So you rest assured that with ARA-C01 exam real questions you can pass SnowPro Advanced Architect Certification ARA-C01 exam easily.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is a highly reputable certification that is recognized globally by businesses and organizations that use Snowflake. SnowPro Advanced Architect Certification certification exam is designed to test the skills and knowledge of individuals who want to become advanced architects in data warehousing and data analytics. SnowPro Advanced Architect Certification certification is a valuable asset for individuals who want to advance their careers in these fields, and there are several resources available to help candidates prepare for the exam.
Snowflake SnowPro Advanced Architect Certification Sample Questions (Q137-Q142):
NEW QUESTION # 137
Snowflake recommends starting slowly with SEARCH OPTIMIZATION(i.e. adding search optimization to only a few tables at first) and closely monitoring the costs and benefits.
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 138
Which of the below commands will use warehouse credits?
- A. SHOW TABLES LIKE 'SNOWFL%';
- B. SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;
- C. SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;
- D. SELECT COUNT(*) FROM SNOWFLAKE;
Answer: C
NEW QUESTION # 139
Which command can be run to list all shares that have been created in your account or are available to consume by your account
- A. SHOW SHARES
- B. DESCRIBE SHARES
- C. LIST SHARES
Answer: A
NEW QUESTION # 140
Assuming all Snowflake accounts are using an Enterprise edition or higher, in which development and testing scenarios would be copying of data be required, and zero-copy cloning not be suitable? (Select TWO).
- A. The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account.
- B. Developers create their own datasets to work against transformed versions of the live data.
- C. Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing.
- D. Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked.
- E. Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region.
Answer: B,E
Explanation:
Zero-copy cloning is a feature that allows creating a clone of a table, schema, or database without physically copying the data. Zero-copy cloning is suitable for scenarios where the cloned object needs to have the same data and metadata as the original object, and where the cloned object does not need to be modified or updated frequently. Zero-copy cloning is also suitable for scenarios where the cloned object needs to be shared within the same Snowflake account or across different accounts in the same cloud region2 However, zero-copy cloning is not suitable for scenarios where the cloned object needs to have different data or metadata than the original object, or where the cloned object needs to be modified or updated frequently. Zero-copy cloning is also not suitable for scenarios where the cloned object needs to be shared across different accounts in different cloud regions. In these scenarios, copying of data would be required, either by using the COPY INTO command or by using data sharing with secure views3 The following are examples of development and testing scenarios where copying of data would be required, and zero-copy cloning would not be suitable:
Developers create their own datasets to work against transformed versions of the live data. This scenario requires copying of data because the developers need to modify the data or metadata of the cloned object to perform transformations, such as adding, deleting, or updating columns, rows, or values. Zero-copy cloning would not be suitable because it would create a read-only clone that shares the same data and metadata as the original object, and any changes made to the clone would affect the original object as well4 Data is in a production Snowflake account that needs to be provided to Developers in a separate development/testing Snowflake account in the same cloud region. This scenario requires copying of data because the data needs to be shared across different accounts in the same cloud region. Zero-copy cloning would not be suitable because it would create a clone within the same account as the original object, and it would not allow sharing the clone with another account. To share data across different accounts in the same cloud region, data sharing with secure views or COPY INTO command can be used5 The following are examples of development and testing scenarios where zero-copy cloning would be suitable, and copying of data would not be required:
Production and development run in different databases in the same account, and Developers need to see production-like data but with specific columns masked. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the production database in the development database, and the clone can have the same data and metadata as the original database. To mask specific columns, secure views can be created on top of the clone, and the developers can access the secure views instead of the clone directly6 Developers create their own copies of a standard test database previously created for them in the development account, for their initial development and unit testing. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the standard test database for each developer, and the clone can have the same data and metadata as the original database. The developers can use the clone for their initial development and unit testing, and any changes made to the clone would not affect the original database or other clones7 The release process requires pre-production testing of changes with data of production scale and complexity. For security reasons, pre-production also runs in the production account. This scenario can use zero-copy cloning because the data needs to be shared within the same account, and the cloned object does not need to have different data or metadata than the original object. Zero-copy cloning can create a clone of the production database in the pre-production database, and the clone can have the same data and metadata as the original database. The pre-production testing can use the clone to test the changes with data of production scale and complexity, and any changes made to the clone would not affect the original database or the production environment8 Reference:
1: SnowPro Advanced: Architect | Study Guide 9
2: Snowflake Documentation | Cloning Overview
3: Snowflake Documentation | Loading Data Using COPY into a Table
4: Snowflake Documentation | Transforming Data During a Load
5: Snowflake Documentation | Data Sharing Overview
6: Snowflake Documentation | Secure Views
7: Snowflake Documentation | Cloning Databases, Schemas, and Tables
8: Snowflake Documentation | Cloning for Testing and Development
: SnowPro Advanced: Architect | Study Guide
: Cloning Overview
: Loading Data Using COPY into a Table
: Transforming Data During a Load
: Data Sharing Overview
: Secure Views
: Cloning Databases, Schemas, and Tables
: Cloning for Testing and Development
NEW QUESTION # 141
You have an inventory table. You created two views on this table. The views look like as below
CREATE VIEW NON_SECURE_INVENTORY AS
SELECT BIBNUMBER, TITLE, AUTHOR,ISBN
FROM INVENTORY
WHERE BIBNUMBER IN(511784,511805,511988,512044,512052,512063);
CREATE SECURE VIEW SECURE_INVENTORY AS
SELECT BIBNUMBER, TITLE, AUTHOR,ISBN
FROM INVENTORY
WHERE BIBNUMBER IN(511784,511805,511988,512044,512052,512063);
You ran the below queries
ALTER SESSION SET USE_CACHED_RESULT=FALSE;--This is to ensure that we do not retrieve from query cache
SELECT * FROM NON_SECURE_INVENTORY WHERE BIBNUMBER =511784; SELECT * FROM SECURE_INVENTORY WHERE BIBNUMBER =511784;
The query profile for the first query looks as below
However, the query profile for the second one looks like as below
Both the views use the same columns from the same underlying view. So, why is this difference in query profiles.
- A. The query is run by a role that did not have access to the view
- B. Secure views do not expose the underlying tables or internal structural details for a view
- C. The query profile is corrupted
Answer: B
NEW QUESTION # 142
......
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