2025 SNOWFLAKE ARA-C01: AUTHORITATIVE SNOWPRO ADVANCED ARCHITECT CERTIFICATION PASS LEADER DUMPS

2025 Snowflake ARA-C01: Authoritative SnowPro Advanced Architect Certification Pass Leader Dumps

2025 Snowflake ARA-C01: Authoritative SnowPro Advanced Architect Certification Pass Leader Dumps

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To qualify for the SnowPro Advanced Architect Certification, candidates must have at least two years of experience working with Snowflake and have already achieved the SnowPro Core or SnowPro Advanced certification. ARA-C01 exam consists of 60 multiple-choice questions that cover a wide range of topics, including Snowflake architecture, security, data modeling, performance optimization, and integration with other systems. Candidates have 90 minutes to complete the exam, and a passing score of 80% or higher is required to earn the certification.

Snowflake ARA-C01 Exam covers a wide range of topics, including Snowflake architecture, data modeling, security, performance optimization, and data integration. ARA-C01 Exam consists of multiple-choice questions that test the aspirant's knowledge of Snowflake's core concepts, features, and capabilities. ARA-C01 exam is designed to assess the aspirant's ability to design and implement Snowflake solutions that are scalable, secure, and meet the business requirements. By passing the Snowflake ARA-C01 Exam, aspirants can demonstrate their expertise in Snowflake architecture and gain recognition as a SnowPro Advanced Architect.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q135-Q140):

NEW QUESTION # 135
All multi cluster warehouses that were using the Legacy policy now use the default Standard policy

  • A. FALSE
  • B. TRUE

Answer: B


NEW QUESTION # 136
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 an external table against the S3 bucket in AWS Singapore and copy the data into transient tables.
  • B. Use a materialized view on top of an external table against the S3 bucket in AWS Singapore.
  • 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.

Answer: A

Explanation:
: Option A is the best design to meet the requirements because it uses a materialized view on top of an external table against the S3 bucket in AWS Singapore. A materialized view is a database object that contains the results of a query and can be refreshed periodically to reflect changes in the underlying data1. An external table is a table that references data files stored in a cloud storage service, such as Amazon S32. By using a materialized view on top of an external table, the company can provide access to frequently changing data, keep egress costs to a minimum, and maintain low latency. This is because the materialized view will cache the query results in Snowflake, reducing the need to access the external data files and incur network charges. The materialized view will also improve the query performance by avoiding scanning the external data files every time. The materialized view can be refreshed on a schedule or on demand to capture the changes in the external data files1.
Option B is not the best design because it uses an external table against the S3 bucket in AWS Singapore and copies the data into transient tables. A transient table is a table that is not subject to the Time Travel and Fail-safe features of Snowflake, and is automatically purged after a period of time3. By using an external table and copying the data into transient tables, the company will incur more egress costs and operational overhead than using a materialized view. This is because the external table will access the external data files every time a query is executed, and the copy operation will also transfer data from S3 to Snowflake. The transient tables will also consume more storage space in Snowflake and require manual maintenance to ensure they are up to date.
Option C is not the best design because it copies the data between providers from S3 to Azure Blob storage to collocate, then uses Snowpipe for data ingestion. Snowpipe is a service that automates the loading of data from external sources into Snowflake tables4. By copying the data between providers, the company will incur high egress costs and latency, as well as operational complexity and maintenance of the infrastructure. Snowpipe will also add another layer of processing and storage in Snowflake, which may not be necessary if the external data files are already in a queryable format.
Option D is not the best design because it uses AWS Transfer Family to replicate data between the S3 bucket in AWS Singapore and an Azure Netherlands Blob storage, then uses an external table against the Blob storage. AWS Transfer Family is a service that enables secure and seamless transfer of files over SFTP, FTPS, and FTP to and from Amazon S3 or Amazon EFS5. By using AWS Transfer Family, the company will incur high egress costs and latency, as well as operational complexity and maintenance of the infrastructure. The external table will also access the external data files every time a query is executed, which may affect the query performance.


NEW QUESTION # 137
A Snowflake Architect created a new data share and would like to verify that only specific records in secure views are visible within the data share by the consumers.
What is the recommended way to validate data accessibility by the consumers?

  • A. Create a row access policy as shown below and assign it to the data share.
    create or replace row access policy rap_acct as (acct_id varchar) returns boolean -> case when 'acctl_role' = current_role() then true else false end;
  • B. Set the session parameter called SIMULATED_DATA_SHARING_C0NSUMER as shown below in order to impersonate the consumer accounts.
    alter session set simulated_data_sharing_consumer - 'Consumer Acctl*
  • C. Create reader accounts as shown below and impersonate the consumers by logging in with their credentials.
    create managed account reader_acctl admin_name = userl , adroin_password 'Sdfed43da!44T , type = reader;
  • D. Alter the share settings as shown below, in order to impersonate a specific consumer account.
    alter share sales share set accounts = 'Consumerl' share restrictions = true

Answer: D


NEW QUESTION # 138
Which copy options are not supported by CREATE PIPE...AS COPY FROM command?

  • A. ON_ERROR = ABORT_STATEMENT
  • B. FORCE = TRUE | FALSE
  • C. MATCH_BY_COLUMN_NAME = CASE_SENSITIVE | CASE_INSENSITIVE | NONE
  • D. FILES = ( 'file_name1' [ , 'file_name2', ... ] )
  • E. VALIDATION_MODE = RETURN_n_ROWS | RETURN_ERRORS | RETURN_ALL_ERRORS

Answer: A,B,C,D,E


NEW QUESTION # 139
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. Secure views do not expose the underlying tables or internal structural details for a view
  • B. The query profile is corrupted
  • C. The query is run by a role that did not have access to the view

Answer: A


NEW QUESTION # 140
......

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