First Attempt Guaranteed Success in ARA-C01 Exam 2025 [Q18-Q38]

17Apr 2025 by admin No Comments

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First Attempt Guaranteed Success in ARA-C01 Exam 2025

Real ARA-C01 Exam Questions are the Best Preparation Material

NEW QUESTION 18
What integration object should be used to place restrictions on where data may be exported?

Stage integration

Security integration

Storage integration

API integration

NEW QUESTION 19
Which system functions does Snowflake provide to monitor clustering information within a table (Choose two.)

SYSTEM$CLUSTERING_INFORMATION

SYSTEM$CLUSTERING_USAGE

SYSTEM$CLUSTERING_DEPTH

SYSTEM$CLUSTERING_KEYS

SYSTEM$CLUSTERING_PERCENT

NEW QUESTION 20
You have a view.
How will you list all the object references of the view?

GET_OBJECT_REFERENCES

GET_VIEW_REFERENCES

GET_VIEW_METADATA

NEW QUESTION 21
How does a standard virtual warehouse policy work in Snowflake?

It conserves credits by keeping running clusters fully loaded rather than starting additional clusters.

It starts only if the system estimates that there is a query load that will keep the cluster busy for at least 6 minutes.

It starts only f the system estimates that there is a query load that will keep the cluster busy for at least 2 minutes.

It prevents or minimizes queuing by starting additional clusters instead of conserving credits.

NEW QUESTION 22
A media company needs a data pipeline that will ingest customer review data into a Snowflake table, and apply some transformations. The company also needs to use Amazon Comprehend to do sentiment analysis and make the de-identified final data set available publicly for advertising companies who use different cloud providers in different regions.
The data pipeline needs to run continuously ang efficiently as new records arrive in the object storage leveraging event notifications. Also, the operational complexity, maintenance of the infrastructure, including platform upgrades and security, and the development effort should be minimal.
Which design will meet these requirements?

Ingest the data using COPY INTO and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Create an external function to do model inference with Amazon Comprehend and write the final records to a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

Ingest the data into Snowflake using Amazon EMR and PySpark using the Snowflake Spark connector. Apply transformations using another Spark job. Develop a python program to do model inference by leveraging the Amazon Comprehend text analysis API. Then write the results to a Snowflake table and create a listing in the Snowflake Marketplace to make the data available to other companies.

Ingest the data using Snowpipe and use streams and tasks to orchestrate transformations. Export the data into Amazon S3 to do model inference with Amazon Comprehend and ingest the data back into a Snowflake table. Then create a listing in the Snowflake Marketplace to make the data available to other companies.

NEW QUESTION 23
Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

NEW QUESTION 24
A company has an inbound share set up with eight tables and five secure views. The company plans to make the share part of its production data pipelines.
Which actions can the company take with the inbound share? (Choose two.)

Clone a table from a share.

Grant modify permissions on the share.

Create a table from the shared database.

Create additional views inside the shared database.

Create a table stream on the shared table.

NEW QUESTION 25
A company’s Architect needs to find an efficient way to get data from an external partner, who is also a Snowflake user. The current solution is based on daily JSON extracts that are placed on an FTP server and uploaded to Snowflake manually. The files are changed several times each month, and the ingestion process needs to be adapted to accommodate these changes.
What would be the MOST efficient solution?

Ask the partner to create a share and add the company’s account.

Ask the partner to use the data lake export feature and place the data into cloud storage where Snowflake can natively ingest it (schema-on-read).

Keep the current structure but request that the partner stop changing files, instead only appending new files.

Ask the partner to set up a Snowflake reader account and use that account to get the data for ingestion.

The most efficient solution is to ask the partner to create a share and add the company’s account (Option A).
This way, the company can access the live data from the partner without any data movement or manual intervention. Snowflake’s secure data sharing feature allows data providers to share selected objects in a database with other Snowflake accounts. The shared data is read-only and does not incur any storage or compute costs for the data consumers. The data consumers can query the shared data directly or create local copies of the shared objects in their own databases. Option B is not efficient because it involves using the data lake export feature, which is intended for exporting data from Snowflake to an external data lake, not for importing data from another Snowflake account. The data lake export feature also requires the data provider to create an external stage on cloud storage and use the COPY INTO <location> command to export the data into parquet files. The data consumer then needs to create an external table or a file format to load the data from the cloud storage into Snowflake. This process can be complex and costly, especially if the data changes frequently. Option C is not efficient because it does not solve the problem of manual data ingestion and adaptation. Keeping the current structure of daily JSON extracts on an FTP server and requesting the partner to stop changing files, instead only appending new files, does not improve the efficiency or reliability of the data ingestion process. The company still needs to upload the data to Snowflake manually and deal with any schema changes or data quality issues. Option D is not efficient because it requires the partner to set up a Snowflake reader account and use that account to get the data for ingestion. A reader account is a special type of account that can only consume data from the provider account that created it. It is intended for data consumers who are not Snowflake customers and do not have a licensing agreement with Snowflake. A reader account is not suitable for data ingestion from another Snowflake account, as it does not allow uploading, modifying, or unloading data. The company would need to use external tools or interfaces to access the data from the reader account and load it into their own account, which can be slow and expensive. References: The answer can be verified from Snowflake’s official documentation on secure data sharing, data lake export, and reader accounts available on their website. Here are some relevant links:
* Introduction to Secure Data Sharing | Snowflake Documentation
* Data Lake Export Public Preview Is Now Available on Snowflake | Snowflake Blog
* Managing Reader Accounts | Snowflake Documentation

NEW QUESTION 26
An Architect with the ORGADMIN role wants to change a Snowflake account from an Enterprise edition to a Business Critical edition.
How should this be accomplished?

Run an ALTER ACCOUNT command and create a tag of EDITION and set the tag to Business Critical.

Use the account’s ACCOUNTADMIN role to change the edition.

Failover to a new account in the same region and specify the new account’s edition upon creation.

Contact Snowflake Support and request that the account’s edition be changed.

NEW QUESTION 27
An Architect uses COPY INTO with the ON_ERROR=SKIP_FILE option to bulk load CSV files into a table called TABLEA, using its table stage. One file named file5.csv fails to load. The Architect fixes the file and re-loads it to the stage with the exact same file name it had previously.
Which commands should the Architect use to load only file5.csv file from the stage? (Choose two.)

COPY INTO tablea FROM @%tablea RETURN_FAILED_ONLY = TRUE;

COPY INTO tablea FROM @%tablea;

COPY INTO tablea FROM @%tablea FILES = (‘file5.csv’);

COPY INTO tablea FROM @%tablea FORCE = TRUE;

COPY INTO tablea FROM @%tablea NEW_FILES_ONLY = TRUE;

COPY INTO tablea FROM @%tablea MERGE = TRUE;

NEW QUESTION 28
Materialized views based on external tables can improve query performance

TRUE

FALSE

NEW QUESTION 29
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).

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

select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID= substring(‘AAAAAAAAPHPPLBAAASKDJHASLKDJHASKJD’,1,16);

select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE ‘%BAAASKD%’;

select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID LIKE ‘%PHPP%’;

select * from DEMO_DB.DEMO_SCH.CUSTOMER_ADDRESS Where CA_ADDRESS_ID NOT LIKE ‘%AAAAAAAAPHPPL%’;

NEW QUESTION 30
Which semi-structured data function returns an OBJECT constructed from the arguments.

OBJECT_CONSTRUCT

OBJECT_ARRAY

OBJECT_INSPECT

NEW QUESTION 31
Which security, governance, and data protection features require, at a MINIMUM, the Business Critical edition of Snowflake? (Choose two.)

Extended Time Travel (up to 90 days)

Customer-managed encryption keys through Tri-Secret Secure

Periodic rekeying of encrypted data

AWS, Azure, or Google Cloud private connectivity to Snowflake

Federated authentication and SSO

NEW QUESTION 32
An Architect has been asked to clone schema STAGING as it looked one week ago, Tuesday June 1st at 8:00 AM, to recover some objects.
The STAGING schema has 50 days of retention.
The Architect runs the following statement:
CREATE SCHEMA STAGING_CLONE CLONE STAGING at (timestamp => ‘2021-06-01 08:00:00’); The Architect receives the following error: Time travel data is not available for schema STAGING. The requested time is either beyond the allowed time travel period or before the object creation time.
The Architect then checks the schema history and sees the following:
CREATED_ON|NAME|DROPPED_ON
2021-06-02 23:00:00 | STAGING | NULL
2021-05-01 10:00:00 | STAGING | 2021-06-02 23:00:00
How can cloning the STAGING schema be achieved?

Undrop the STAGING schema and then rerun the CLONE statement.

Modify the statement: CREATE SCHEMA STAGING_CLONE CLONE STAGING at (timestamp =>
‘2021-05-01 10:00:00’);

Rename the STAGING schema and perform an UNDROP to retrieve the previous STAGING schema version, then run the CLONE statement.

Cloning cannot be accomplished because the STAGING schema version was not active during the proposed Time Travel time period.

NEW QUESTION 33
Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

NEW QUESTION 34
Which security, governance, and data protection features require, at a MINIMUM, the Business Critical edition of Snowflake? (Choose two.)

Extended Time Travel (up to 90 days)

Customer-managed encryption keys through Tri-Secret Secure

Periodic rekeying of encrypted data

AWS, Azure, or Google Cloud private connectivity to Snowflake

Federated authentication and SSO

NEW QUESTION 35
An Architect needs to allow a user to create a database from an inbound share.
To meet this requirement, the user’s role must have which privileges? (Choose two.)

IMPORT SHARE;

IMPORT PRIVILEGES;

CREATE DATABASE;

CREATE SHARE;

IMPORT DATABASE;

NEW QUESTION 36
Which Snowflake objects can be used in a data share? (Select TWO).

Standard view

Secure view

Stored procedure

External table

Stream

NEW QUESTION 37
A company is storing large numbers of small JSON files (ranging from 1-4 bytes) that are received from IoT devices and sent to a cloud provider. In any given hour, 100,000 files are added to the cloud provider.
What is the MOST cost-effective way to bring this data into a Snowflake table?

An external table

A pipe

A stream

A copy command at regular intervals

NEW QUESTION 38
A Snowflake Architect Is working with Data Modelers and Table Designers to draft an ELT framework specifically for data loading using Snowpipe. The Table Designers will add a timestamp column that Inserts the current tlmestamp as the default value as records are loaded into a table. The Intent is to capture the time when each record gets loaded into the table; however, when tested the timestamps are earlier than the loae_take column values returned by the copy_history function or the Copy_HISTORY view (Account Usage).
Why Is this occurring?

The timestamps are different because there are parameter setup mismatches. The parameters need to be realigned

The Snowflake timezone parameter Is different from the cloud provider’s parameters causing the mismatch.

The Table Designer team has not used the localtimestamp or systimestamp functions in the Snowflake copy statement.

The CURRENT_TIMEis evaluated when the load operation is compiled in cloud services rather than when the record is inserted into the table.

The correct answer is D because the CURRENT_TIME function returns the current timestamp at the start of the statement execution, not at the time of the record insertion. Therefore, if the load operation takes some time to complete, the CURRENT_TIME value may be earlier than the actual load time.
Option A is incorrect because the parameter setup mismatches do not affect the timestamp values. The parameters are used to control the behavior and performance of the load operation, such as the file format, the error handling, the purge option, etc.
Option B is incorrect because the Snowflake timezone parameter and the cloud provider’s parameters are independent of each other. The Snowflake timezone parameter determines the session timezone for displaying and converting timestamp values, while the cloud provider’s parameters determine the physical location and configuration of the storage and compute resources.
Option C is incorrect because the localtimestamp and systimestamp functions are not relevant for the Snowpipe load operation. The localtimestamp function returns the current timestamp in the session timezone, while the systimestamp function returns the current timestamp in the system timezone. Neither of them reflect the actual load time of the records. Reference:
Snowflake Documentation: Loading Data Using Snowpipe: This document explains how to use Snowpipe to continuously load data from external sources into Snowflake tables. It also describes the syntax and usage of the COPY INTO command, which supports various options and parameters to control the loading behavior.
Snowflake Documentation: Date and Time Data Types and Functions: This document explains the different data types and functions for working with date and time values in Snowflake. It also describes how to set and change the session timezone and the system timezone.
Snowflake Documentation: Querying Metadata: This document explains how to query the metadata of the objects and operations in Snowflake using various functions, views, and tables. It also describes how to access the copy history information using the COPY_HISTORY function or the COPY_HISTORY view.

The SnowPro Advanced Architect Certification exam is an essential certification for professionals who specialize in designing and implementing complex Snowflake solutions. SnowPro Advanced Architect Certification certification provides a competitive edge to professionals by showcasing their skills and knowledge in the field of data management, warehousing, and analytics. Successful candidates will demonstrate their ability to design and implement Snowflake solutions that meet the complex data management needs of organizations.

Practice LATEST ARA-C01 Exam Updated 162 Questions: https://www.practicematerial.com/ARA-C01-exam-materials.html

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