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Snowflake ARA-C01 Exam Dumps

Snowflake ARA-C01 Exam Dumps

Certification Exams

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Number Of Questions

162

$ 39

Description

Exam Name: SnowPro Advanced: Architect Certification Exam
Exam Code: ARA-C01
Related Certification(s): Snowflake SnowPro Certification
Certification Provider: Snowflake
Actual Exam Duration: 115 Minutes
Number of ARA-C01 practice questions in our database: 162
Expected ARA-C01 Exam Topics, as suggested by Snowflake :

  • Module 1: Design data sharing solutions, based on different use cases/ Determine the appropriate data transformation solution to meet business needs
  • Module 2: Design a Snowflake account and database strategy, based on business requirements/ Troubleshoot performance issues with existing architectures
  • Module 3: Outline the benefits and limitations of various data models in a Snowflake environment/ Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake
  • Module 4: Outline performance tools, best practices, and appropriate scenarios where they should be applied/ Determine the appropriate data recovery solution in Snowflake and how data can be restored
  • Module 5: Determine the appropriate data loading or data unloading solution to meet business needs/ Design an architecture that meets data security, privacy, compliance, and governance requirements
  • Module 6: Create architecture solutions that support Development Lifecycles as well as workload requirements/ Outline Snowflake security principles and identify use cases where they should be applied

Description

Exam Name: SnowPro Advanced: Architect Certification Exam
Exam Code: ARA-C01
Related Certification(s): Snowflake SnowPro Certification
Certification Provider: Snowflake
Actual Exam Duration: 115 Minutes
Number of ARA-C01 practice questions in our database: 162
Expected ARA-C01 Exam Topics, as suggested by Snowflake :

  • Module 1: Design data sharing solutions, based on different use cases/ Determine the appropriate data transformation solution to meet business needs
  • Module 2: Design a Snowflake account and database strategy, based on business requirements/ Troubleshoot performance issues with existing architectures
  • Module 3: Outline the benefits and limitations of various data models in a Snowflake environment/ Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake
  • Module 4: Outline performance tools, best practices, and appropriate scenarios where they should be applied/ Determine the appropriate data recovery solution in Snowflake and how data can be restored
  • Module 5: Determine the appropriate data loading or data unloading solution to meet business needs/ Design an architecture that meets data security, privacy, compliance, and governance requirements
  • Module 6: Create architecture solutions that support Development Lifecycles as well as workload requirements/ Outline Snowflake security principles and identify use cases where they should be applied

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Q1. A company is using Snowflake in Azure in the Netherlands. The company analyst team also has data in JSON format that is stored in an Amazon S3 bucket in the AWS Singapore region that the team wants to analyze. The Architect has been given the following requirements: 1. Provide access to frequently changing data 2. Keep egress costs to a minimum 3. Maintain low latency How can these requirements be met with the LEAST amount of operational overhead?

A.Use a materialized view on top of an external table against the S3 bucket in AWS Singapore.

B. Use an external table against the S3 bucket in AWS Singapore and copy the data into transient tables.

C. Copy the data between providers from S3 to Azure Blob storage to collocate, then use Snowpipe for data ingestion.

D. Use AWS Transfer Family to replicate data between the S3 bucket in AWS Singapore and an Azure Netherlands Blob storage, then use an external table against the Blob storage.

Correct Answer: B

Q2. What does a Snowflake Architect need to consider when implementing a Snowflake Connector for Kafka?

A.Every Kafka message is in JSON or Avro format.

B. The default retention time for Kafka topics is 14 days.

C. The Kafka connector supports key pair authentication, OAUTH. and basic authentication (for example, username and password).

D. The Kafka connector will create one table and one pipe to ingest data for each topic. If the connector cannot create the table or the pipe it will result in an exception.

Correct Answer: D

Q3. A company is trying to Ingest 10 TB of CSV data into a Snowflake table using Snowpipe as part of Its migration from a legacy database platform. The records need to be ingested in the MOST performant and cost-effective way. How can these requirements be met?

A.Use ON_ERROR = continue in the copy into command.

B. Use purge = TRUE in the copy into command.

C. Use FURGE = FALSE in the copy into command.

D. Use on error = SKIP_FILE in the copy into command.

Correct Answer: D

Q4. At which object type level can the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges be granted?

A.Global

B. Database

C. Schema

D. Table

Correct Answer: A

Q5. Two queries are run on the customer_address table: create or replace TABLE CUSTOMER_ADDRESS ( CA_ADDRESS_SK NUMBER(38,0), CA_ADDRESS_ID VARCHAR(16), CA_STREET_NUMBER VARCHAR(IO) CA_STREET_NAME VARCHAR(60), CA_STREET_TYPE VARCHAR(15), CA_SUITE_NUMBER VARCHAR(10), CA_CITY VARCHAR(60), CA_COUNTY VARCHAR(30), CA_STATE VARCHAR(2), CA_ZIP VARCHAR(10), CA_COUNTRY VARCHAR(20), CA_GMT_OFFSET NUMBER(5,2), CA_LOCATION_TYPE VARCHAR(20) ); ALTER TABLE DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS ADD SEARCH OPTIMIZATION ON SUBSTRING(CA_ADDRESS_ID); Which queries will benefit from the use of the search optimization service? (Select TWO).

A.select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where substring(CA_ADDRESS_ID,1,8)= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,8);

B. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where substring(CA_ADDRESS_ID,1,8)= substring('AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD',1,8);

C. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE '%BAAASKD%';

D. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE '%PHPP%';

E. select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID NOT LIKE '%AAAAAAAAPHPPL%';

Correct Answer: A, B

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