Get Latest Jul-2025 Real ARA-C01 Exam Questions and Answers FREE [Q90-Q109]

admin ARA-C01 Snowflake July 25, 2025

4/5 - (1 vote)

Get Latest Jul-2025 Real ARA-C01 Exam Questions and Answers FREE

Truly Beneficial For Your Snowflake Exam (Updated 164 Questions)

To be eligible to take the SnowPro Advanced Architect Certification exam, candidates must have a solid understanding of Snowflake data warehousing and data management concepts, as well as practical experience in designing and implementing Snowflake solutions. Candidates are also required to have completed the SnowPro Core Certification exam, which tests their foundational knowledge of Snowflake data warehousing and data management.

Q90. The Data Engineering team at a large manufacturing company needs to engineer data coming from many sources to support a wide variety of use cases and data consumer requirements which include:
1) Finance and Vendor Management team members who require reporting and visualization
2) Data Science team members who require access to raw data for ML model development
3) Sales team members who require engineered and protected data for data monetization What Snowflake data modeling approaches will meet these requirements? (Choose two.)

Consolidate data in the company’s data lake and use EXTERNAL TABLES.

Create a raw database for landing and persisting raw data entering the data pipelines.

Create a set of profile-specific databases that aligns data with usage patterns.

Create a single star schema in a single database to support all consumers’ requirements.

Create a Data Vault as the sole data pipeline endpoint and have all consumers directly access the Vault.

Q91. 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?

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;

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;

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*

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

Q92. Loading data using snowpipe REST API is supported for external stage only

TRUE

FALSE

Q93. The following DDL command was used to create a task based on a stream:

Assuming MY_WH is set to auto_suspend – 60 and used exclusively for this task, which statement is true?

The warehouse MY_WH will be made active every five minutes to check the stream.

The warehouse MY_WH will only be active when there are results in the stream.

The warehouse MY_WH will never suspend.

The warehouse MY_WH will automatically resize to accommodate the size of the stream.

Q94. Which metrics below will help you take a decision if you need to resize your warehouse?

QUERY_HISTORY.BYTES_SCANNED

QUERY_HISTORY.REMOTE_SPILLAGE_BYTES

QUERY_HISTORY.SCANNED_ROWS

Q95. Which steps are recommended best practices for prioritizing cluster keys in Snowflake? (Choose two.)

Choose columns that are frequently used in join predicates.

Choose lower cardinality columns to support clustering keys and cost effectiveness.

Choose TIMESTAMP columns with nanoseconds for the highest number of unique rows.

Choose cluster columns that are most actively used in selective filters.

Choose cluster columns that are actively used in the GROUP BY clauses.

Q96. A company has an external vendor who puts data into Google Cloud Storage. The company’s Snowflake account is set up in Azure.
What would be the MOST efficient way to load data from the vendor into Snowflake?

Ask the vendor to create a Snowflake account, load the data into Snowflake and create a data share.

Create an external stage on Google Cloud Storage and use the external table to load the data into Snowflake.

Copy the data from Google Cloud Storage to Azure Blob storage using external tools and load data from Blob storage to Snowflake.

Create a Snowflake Account in the Google Cloud Platform (GCP), ingest data into this account and use data replication to move the data from GCP to Azure.

Q97. If a multi-cluster warehouse is resized, the new size applies to

Clusters that are currently running

Clusters that are started after the warehouse is resized

All of the above

Q98. A company is following the Data Mesh principles, including domain separation, and chose one Snowflake account for its data platform.
An Architect created two data domains to produce two data products. The Architect needs a third data domain that will use both of the data products to create an aggregate data product. The read access to the data products will be granted through a separate role.
Based on the Data Mesh principles, how should the third domain be configured to create the aggregate product if it has been granted the two read roles?

Use secondary roles for all users.

Create a hierarchy between the two read roles.

Request a technical ETL user with the sysadmin role.

Request that the two data domains share data using the Data Exchange.

Q99. Choose the different ways that you have to optimize query performance

Clustering a table

Creating one or more materialized views

Search Optimization

Vacuuming

Q100. A healthcare company is deploying a Snowflake account that may include Personal Health Information (PHI).
The company must ensure compliance with all relevant privacy standards.
Which best practice recommendations will meet data protection and compliance requirements? (Choose three.)

Use, at minimum, the Business Critical edition of Snowflake.

Create Dynamic Data Masking policies and apply them to columns that contain PHI.

Use the Internal Tokenization feature to obfuscate sensitive data.

Use the External Tokenization feature to obfuscate sensitive data.

Rewrite SQL queries to eliminate projections of PHI data based on current_role().

Avoid sharing data with partner organizations.

Explanation
* A healthcare company that handles PHI data must ensure compliance with relevant privacy standards, such as HIPAA, HITRUST, and GDPR. Snowflake provides several features and best practices to help customers meet their data protection and compliance requirements1.
* One best practice recommendation is to use, at minimum, the Business Critical edition of Snowflake. This edition provides the highest level of data protection and security, including end-to-end encryption with customer-managed keys, enhanced object-level security, and HIPAA and HITRUST compliance2. Therefore, option A is correct.
* Another best practice recommendation is to create Dynamic Data Masking policies and apply them to columns that contain PHI. Dynamic Data Masking is a feature that allows masking or redacting sensitive data based on the current user’s role. This way, only authorized users can view the unmasked data, while others will see masked values, such as NULL, asterisks, or random characters3. Therefore, option B is correct.
* A third best practice recommendation is to use the External Tokenization feature to obfuscate sensitive data. External Tokenization is a feature that allows replacing sensitive data with tokens that are generated and stored by an external service, such as Protegrity. This way, the original data is never stored or processed by Snowflake, and only authorized users can access the tokenized data through the external service4. Therefore, option D is correct.
* Option C is incorrect, because the Internal Tokenization feature is not available in Snowflake. Snowflake does not provide any native tokenization functionality, but only supports integration with external tokenization services4.
* Option E is incorrect, because rewriting SQL queries to eliminate projections of PHI data based on current_role() is not a best practice. This approach is error-prone, inefficient, and hard to maintain. A better alternative is to use Dynamic Data Masking policies, which can automatically mask data based on the user’s role without modifying the queries3.
* Option F is incorrect, because avoiding sharing data with partner organizations is not a best practice.
Snowflake enables secure and governed data sharing with internal and external consumers, such as business units, customers, or partners. Data sharing does not involve copying or moving data, but only granting access privileges to the shared objects. Data sharing can also leverage Dynamic Data Masking and External Tokenization features to protect sensitive data5.
References: : Snowflake’s Security & Compliance Reports : Snowflake Editions : Dynamic Data Masking : External Tokenization : Secure Data Sharing

Q101. Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?

Option A

Option B

Option C

Option D

Q102. The data share exists between a data provider account and a data consumer account. Five tables from the provider account are being shared with the consumer account. The consumer role has been granted the imported privileges privilege.
What will happen to the consumer account if a new table (table_6) is added to the provider schema?

The consumer role will automatically see the new table and no additional grants are needed.

The consumer role will see the table only after this grant is given on the consumer side:
grant imported privileges on database PSHARE_EDW_4TEST_DB to DEV_ROLE;

The consumer role will see the table only after this grant is given on the provider side:
use role accountadmin;
Grant select on table EDW.ACCOUNTING.Table_6 to share PSHARE_EDW_4TEST;

The consumer role will see the table only after this grant is given on the provider side:
use role accountadmin;
grant usage on database EDW to share PSHARE_EDW_4TEST ;
grant usage on schema EDW.ACCOUNTING to share PSHARE_EDW_4TEST ;
Grant select on table EDW.ACCOUNTING.Table_6 to database PSHARE_EDW_4TEST_DB ;

Q103. You have created a table as below
CREATE TABLE TEST_01 (NAME STRING(10));
What data type SNOWFLAKE will assign to column NAME?

LONGCHAR

STRING

VARCHAR

Q104. An Architect has a VPN_ACCESS_LOGS table in the SECURITY_LOGS schema containing timestamps of the connection and disconnection, username of the user, and summary statistics.
What should the Architect do to enable the Snowflake search optimization service on this table?

Assume role with OWNERSHIP on future tables and ADD SEARCH OPTIMIZATION on the SECURITY_LOGS schema.

Assume role with ALL PRIVILEGES including ADD SEARCH OPTIMIZATION in the SECURITY LOGS schema.

Assume role with OWNERSHIP on VPN_ACCESS_LOGS and ADD SEARCH OPTIMIZATION in the SECURITY_LOGS schema.

Assume role with ALL PRIVILEGES on VPN_ACCESS_LOGS and ADD SEARCH OPTIMIZATION in the SECURITY_LOGS schema.

Q105. An Architect would like to save quarter-end financial results for the previous six years.
Which Snowflake feature can the Architect use to accomplish this?

Search optimization service

Materialized view

Time Travel

Zero-copy cloning

Secure views

Q106. An Architect needs to meet a company requirement to ingest files from the company’s AWS storage accounts into the company’s Snowflake Google Cloud Platform (GCP) account. How can the ingestion of these files into the company’s Snowflake account be initiated? (Select TWO).

Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.

Configure the client application to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 Glacier storage.

Create an AWS Lambda function to call the Snowpipe REST endpoint when new files have arrived in Amazon S3 storage.

Configure AWS Simple Notification Service (SNS) to notify Snowpipe when new files have arrived in Amazon S3 storage.

Configure the client application to issue a COPY INTO <TABLE> command to Snowflake when new files have arrived in Amazon S3 Glacier storage.

Q107. An Architect needs to design a Snowflake account and database strategy to store and analyze large amounts of structured and semi-structured dat a. There are many business units and departments within the company. The requirements are scalability, security, and cost efficiency.
What design should be used?

Create a single Snowflake account and database for all data storage and analysis needs, regardless of data volume or complexity.

Set up separate Snowflake accounts and databases for each department or business unit, to ensure data isolation and security.

Use Snowflake’s data lake functionality to store and analyze all data in a central location, without the need for structured schemas or indexes

Use a centralized Snowflake database for core business data, and use separate databases for departmental or project-specific data.

Q108. 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%’;

Q109. A user is executing the following command sequentially within a timeframe of 10 minutes from start to finish:

What would be the output of this query?

Table T_SALES_CLONE successfully created.

Time Travel data is not available for table T_SALES.

The offset -> is not a valid clause in the clone operation.

Syntax error line 1 at position 58 unexpected ‘at’.

Snowflake ARA-C01 certification exam is a challenging but rewarding experience for those who want to demonstrate their expertise in Snowflake architecture and implementation. It is an essential step in the career progression of Snowflake professionals and provides a significant boost to their professional credibility and earning potential.

ARA-C01 dumps Free Test Engine Verified By It Certified Experts: https://www.validexam.com/ARA-C01-latest-dumps.html