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The SnowPro Advanced Architect Certification Exam covers a wide range of topics related to Snowflake's advanced architecture, including advanced Snowflake concepts, Snowflake security and access control, Snowflake data modeling, Snowflake data warehousing, and Snowflake performance tuning. SnowPro Advanced Architect Certification certification exam is designed to test your ability to apply this knowledge to real-world scenarios, and to demonstrate your expertise in designing and implementing Snowflake solutions that meet business needs.
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Snowflake ARA-C01 certification exam consists of 100 multiple-choice questions that are designed to test the knowledge and skills of the candidates across various domains such as data modeling, data loading, performance tuning, security and access control, and data processing. ARA-C01 Exam is conducted in a timed format and candidates are expected to complete it within two hours. SnowPro Advanced Architect Certification certification exam is proctored and can be taken online from anywhere in the world.
Snowflake SnowPro Advanced Architect Certification Sample Questions (Q60-Q65):
NEW QUESTION # 60
How does a standard virtual warehouse policy work in Snowflake?
Answer: C
Explanation:
Explanation
A standard virtual warehouse policy is one of the two scaling policies available for multi-cluster warehouses in Snowflake. The other policy is economic. A standard policy aims to prevent or minimize queuing by starting additional clusters as soon as the current cluster is fully loaded, regardless of the number of queries in the queue. This policy can improve query performance and concurrency, but it may also consume more credits than an economic policy, which tries to conserve credits by keeping the running clusters fully loaded before starting additional clusters. The scaling policy can be set when creating or modifying a warehouse, and it can be changed at any time.
References:
* Snowflake Documentation: Multi-cluster Warehouses
* Snowflake Documentation: Scaling Policy for Multi-cluster Warehouses
NEW QUESTION # 61
What are some of the characteristics of result set caches? (Choose three.)
Answer: A,B,C
NEW QUESTION # 62
Below are the rest APIs provided by Snowpipe
Answer: A,C
NEW QUESTION # 63
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).
Answer: D,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 References:
* 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 # 64
You have created a table as below
CREATE TABLE SNOWFLAKE_BLOG(BLOG_ID NUMBER, BLOG_CONTENT VARCHAR,BLOG_AUTHOR VARCHAR,BLOG_CREATE_DATE TIMESTAMP );
Now you want to cluster it by BLOG_AUTHOR and BLOG_CREATE_DATE.
Which command below will you choose?
Answer: A
NEW QUESTION # 65
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