ARA-C01 Online Dumps Boost Your Career

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February 22, 2023

The ARA-C01 SnowPro Advanced Architect Certification certification exam is challenging, and it's natural to feel anxious and nervous before taking the exam. Practicing with ARA-C01 dumps questions can help alleviate this anxiety by boosting your confidence. As you practice and become more familiar with the exam format and content, you'll feel more confident in your abilities, which can help you perform better on the actual ARA-C01 exam. Practicing with ARA-C01 questions can increase your chances of success in the certification exam. Practice free Snowflake ARA-C01 exam dumps below.

Page 1 of 5

1. A user can change object parameters using which of the following roles?

ACCOUNTADMIN, SECURITYADMIN

SYSADMIN, SECURITYADMIN

ACCOUNTADMIN, USER with PRIVILEGE

SECURITYADMIN, USER with PRIVILEGE

2. Which of the below commands will use warehouse credits?

SHOW TABLES LIKE 'SNOWFL%';

SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;

SELECT COUNT(*) FROM SNOWFLAKE;

SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;

3. What integration object should be used to place restrictions on where data may be exported?

Stage integration

Security integration

Storage integration

API integration

4. Share the reader account's URL and credentials with the customer

5. An Architect is integrating an application that needs to read and write data to Snowflake without installing any additional software on the application server.

How can this requirement be met?

Use SnowSQ

Use the Snowpipe REST AP

Use the Snowflake SQL REST AP

Use the Snowflake ODBC driver.

6. Which feature provides the capability to define an alternate cluster key for a table with an existing cluster key?

External table

Materialized view

Search optimization

Result cache

7. Which statements describe characteristics of the use of materialized views in Snowflake? (Choose two.)

They can include ORDER BY clauses.

They cannot include nested subqueries.

They can include context functions, such as CURRENT_TIME().

They can support MIN and MAX aggregates.

They can support inner joins, but not outer joins.

8. A company has a source system that provides JSON records for various loT operations. The JSON Is loading directly into a persistent table with a variant field. The data Is quickly growing to 100s of millions of records and performance to becoming an issue. There is a generic access pattern that Is used to filter on the create_date key within the variant field.

What can be done to improve performance?

Alter the target table to Include additional fields pulled from the JSON records. This would Include a create_date field with a datatype of time stamp. When this field Is used in the filter, partition pruning will occur.

Alter the target table to include additional fields pulled from the JSON records. This would include a create_date field with a datatype of varchar. When this field is used in the filter, partition pruning will occur.

Validate the size of the warehouse being used. If the record count is approaching 100s of millions, size XL will be the minimum size required to process this amount of data.

Incorporate the use of multiple tables partitioned by date ranges. When a user or process needs to query a particular date range, ensure the appropriate base table Is used.

9. An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect’s highest priority is to configure the connector to stream data in the MOST cost-effective manner.

Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?

Utilize a higher Buffer.flush.time in the connector configuration.

Utilize a higher Buffer.size.bytes in the connector configuration.

Utilize a lower Buffer.size.bytes in the connector configuration.

Utilize a lower Buffer.count.records in the connector configuration.

10. A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions. The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.

The company’s Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.

According to Snowflake recommended best practice, how should these requirements be met?

Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.

Deploy a Private Data Exchange in combination with data shares for the European accounts.

Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.

Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.

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11. 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 TABLE

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.

12. What is a characteristic of event notifications in Snowpipe?

The load history is stored In the metadata of the target table.

Notifications identify the cloud storage event and the actual data in the files.

Snowflake can process all older notifications when a paused pipe Is resumed.

When a pipe Is paused, event messages received for the pipe enter a limited retention period.

13. Based on the architecture in the image, how can the data from DB1 be copied into TBL2? (Select TWO).

Option A

Option B

Option C

Option D

Option E

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

Standard view

Secure view

Stored procedure

External table

Stream

15. What are characteristics of Dynamic Data Masking? (Select TWO).

A masking policy that Is currently set on a table can be dropped.

A single masking policy can be applied to columns in different tables.

A masking policy can be applied to the value column of an external table.

The role that creates the masking policy will always see unmasked data In query results

A masking policy can be applied to a column with the GEOGRAPHY data type.

16. An Architect has designed a data pipeline that Is receiving small CSV files from multiple sources. All of the files are landing in one location. Specific files are filtered for loading into Snowflake tables using the copy command. The loading performance is poor.

What changes can be made to Improve the data loading performance?

Increase the size of the virtual warehouse.

Create a multi-cluster warehouse and merge smaller files to create bigger files.

Create a specific storage landing bucket to avoid file scanning.

Change the file format from CSV to JSO

17. When loading data into a table that captures the load time in a column with a default value of either CURRENT_TIME () or CURRENT_TIMESTAMP() what will occur?

All rows loaded using a specific COPY statement will have varying timestamps based on when the rows were inserted.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were read from the source.

Any rows loaded using a specific COPY statement will have varying timestamps based on when the rows were created in the source.

All rows loaded using a specific COPY statement will have the same timestamp value.

18. An Architect entered the following commands in sequence:

USER1 cannot find the table.

Which of the following commands does the Architect need to run for USER1 to find the tables using the Principle of Least Privilege? (Choose two.)

GRANT ROLE PUBLIC TO ROLE INTERN;

GRANT USAGE ON DATABASE SANDBOX TO ROLE INTERN;

GRANT USAGE ON SCHEMA SANDBO

PUBLIC TO ROLE INTERN;

GRANT OWNERSHIP ON DATABASE SANDBOX TO USER INTERN;

GRANT ALL PRIVILEGES ON DATABASE SANDBOX TO ROLE INTERN;

19. The IT Security team has identified that there is an ongoing credential stuffing attack on many of their organization’s system.

What is the BEST way to find recent and ongoing login attempts to Snowflake?

Call the LOGIN_HISTORY Information Schema table function.

Query the LOGIN_HISTORY view in the ACCOUNT_USAGE schema in the SNOWFLAKE database.

View the History tab in the Snowflake UI and set up a filter for SQL text that contains the text "LOGIN".

View the Users section in the Account tab in the Snowflake UI and review the last login column.

20. Which technique will efficiently ingest and consume semi-structured data for Snowflake data lake workloads?

IDEF1X

Schema-on-write

Schema-on-read

Information schema

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21. A retail company has over 3000 stores all using the same Point of Sale (POS) system. The company wants to deliver near real-time sales results to category managers. The stores operate in a variety of time zones and exhibit a dynamic range of transactions each minute, with some stores having higher sales volumes than others.

Sales results are provided in a uniform fashion using data engineered fields that will be calculated in a complex data pipeline. Calculations include exceptions, aggregations, and scoring using external functions interfaced to scoring algorithms. The source data for aggregations has over 100M rows. Every minute, the POS sends all sales transactions files to a cloud storage location with a naming convention that includes store numbers and timestamps to identify the set of transactions contained in the files. The files are typically less than 10MB in size.

How can the near real-time results be provided to the category managers? (Select TWO).

All files should be concatenated before ingestion into Snowflake to avoid micro-ingestion.

A Snowpipe should be created and configured with AUTO_INGEST = true. A stream should be created to process INSERTS into a single target table using the stream metadata to inform the store number and timestamps.

A stream should be created to accumulate the near real-time data and a task should be created that runs at a frequency that matches the real-time analytics needs.

An external scheduler should examine the contents of the cloud storage location and issue SnowSQL commands to process the data at a frequency that matches the real-time analytics needs.

The copy into command with a task scheduled to run every second should be used to achieve the near-real time requirement.

22. Which data models can be used when modeling tables in a Snowflake environment? (Select THREE).

Graph model

Dimensional/Kimball

Data lake

lnmon/3NF

Bayesian hierarchical model

Data vault

23. Which organization-related tasks can be performed by the ORGADMIN role? (Choose three.)

Changing the name of the organization

Creating an account

Viewing a list of organization accounts

Changing the name of an account

Deleting an account

Enabling the replication of a database

24. Support for Payment Card Industry Data Security Standards (PCI DSS)

In order to provide all the listed services, what is the MINIMUM Snowflake edition that should be selected during account creation?

Standard

Enterprise

Business Critical

Virtual Private Snowflake (VPS)

25. There is often a count on Uniqueld

Which field(s) should be used for the clustering key?

lOT_timestamp

City and DeviceManuf acturer

Deviceld and Customerld

Uniqueld

26. Files arrive in an external stage every 10 seconds from a proprietary system. The files range in size from 500 K to 3 MB. The data must be accessible by dashboards as soon as it arrives.

How can a Snowflake Architect meet this requirement with the LEAST amount of coding? (Choose two.)

Use Snowpipe with auto-ingest.

Use a COPY command with a task.

Use a materialized view on an external table.

Use the COPY INTO command.

Use a combination of a task and a stream.

27. How can the Snowflake context functions be used to help determine whether a user is authorized to see data that has column-level security enforced? (Select TWO).

Set masking policy conditions using current_role targeting the role in use for the current session.

Set masking policy conditions using is_role_in_session targeting the role in use for the current account.

Set masking policy conditions using invoker_role targeting the executing role in a SQL statement.

Determine if there are ownership privileges on the masking policy that would allow the use of any function.

Assign the accountadmin role to the user who is executing the object.

28. A Snowflake Architect is designing a multi-tenant application strategy for an organization in the Snowflake Data Cloud and is considering using an Account Per Tenant strategy.

Which requirements will be addressed with this approach? (Choose two.)

There needs to be fewer objects per tenant.

Security and Role-Based Access Control (RBAC) policies must be simple to configure.

Compute costs must be optimized.

Tenant data shape may be unique per tenant.

Storage costs must be optimized.

29. 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.

30. What is a characteristic of Role-Based Access Control (RBAC) as used in Snowflake?

Privileges can be granted at the database level and can be inherited by all underlying objects.

A user can use a "super-user" access along with securityadmin to bypass authorization checks and access all databases, schemas, and underlying objects.

A user can create managed access schemas to support future grants and ensure only schema owners can grant privileges to other roles.

A user can create managed access schemas to support current and future grants and ensure only object owners can grant privileges to other roles.

Page 4 of 5

31. How can the Snowpipe REST API be used to keep a log of data load history?

Call insertReport every 20 minutes, fetching the last 10,000 entries.

Call loadHistoryScan every minute for the maximum time range.

Call insertReport every 8 minutes for a 10-minute time range.

Call loadHistoryScan every 10 minutes for a 15-minute time range.

32. When using the Snowflake Connector for Kafka, what data formats are supported for the messages? (Choose two.)

CSV

XML

Avro

JSON

Parquet

33. 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

34. A retail company has 2000+ stores spread across the country. Store Managers report that they are having trouble running key reports related to inventory management, sales targets, payroll, and staffing during business hours. The Managers report that performance is poor and time-outs occur frequently.

Currently all reports share the same Snowflake virtual warehouse.

How should this situation be addressed? (Select TWO).

Use a Business Intelligence tool for in-memory computation to improve performance.

Configure a dedicated virtual warehouse for the Store Manager team.

Configure the virtual warehouse to be multi-clustered.

Configure the virtual warehouse to size 4-XL

Advise the Store Manager team to defer report execution to off-business hours.

35. What are some of the characteristics of result set caches? (Choose three.)

Time Travel queries can be executed against the result set cache.

Snowflake persists the data results for 24 hours.

Each time persisted results for a query are used, a 24-hour retention period is reset.

The data stored in the result cache will contribute to storage costs.

The retention period can be reset for a maximum of 31 days.

The result set cache is not shared between warehouses.

36. A company’s client application supports multiple authentication methods, and is using Okta.

What is the best practice recommendation for the order of priority when applications authenticate to Snowflake?

1) OAuth (either Snowflake OAuth or External OAuth) 2) External browser 3) Okta native authentication 4) Key Pair Authentication, mostly used for service account users 5) Password

1) External browser, SSO 2) Key Pair Authentication, mostly used for development environment users 3) Okta native authentication 4) OAuth (ether Snowflake OAuth or External OAuth) 5) Password

1) Okta native authentication 2) Key Pair Authentication, mostly used for production environment users 3) Password 4) OAuth (either Snowflake OAuth or External OAuth) 5) External browser, SSO

1) Password 2) Key Pair Authentication, mostly used for production environment users 3) Okta native authentication 4) OAuth (either Snowflake OAuth or External OAuth) 5) External browser, SSO

37. What Snowflake features should be leveraged when modeling using Data Vault?

Snowflake’s support of multi-table inserts into the data model’s Data Vault tables

Data needs to be pre-partitioned to obtain a superior data access performance

Scaling up the virtual warehouses will support parallel processing of new source loads

Snowflake’s ability to hash keys so that hash key joins can run faster than integer joins

38. A table, EMP_ TBL has three records as shown:

The following variables are set for the session:

Which SELECT statements will retrieve all three records? (Select TWO).

Select * FROM Stbl_ref WHERE Scol_ref IN ('Name1','Nam2','Name3');

SELECT * FROM EMP_TBL WHERE identifier (Scol_ref) IN ('Namel','Name2', 'Name3');

SELECT * FROM identifier WHERE NAME IN ($var1, $var2, $var3);

SELECT * FROM identifier($tbl_ref) WHERE ID IN Cvarl','var2','var3');

SELECT * FROM $tb1_ref WHERE $col_ref IN ($var1, Svar2, Svar3);

39. Maintain low latency

How can these requirements be met with the LEAST amount of operational overhead?

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

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

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

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.

40. What Snowflake system functions are used to view and or monitor the clustering metadata for a table? (Select TWO).

SYSTEMSCLUSTERING

SYSTEMSTABLE_CLUSTERING

SYSTEMSCLUSTERING_DEPTH

SYSTEMSCLUSTERING_RATIO

SYSTEMSCLUSTERING_INFORMATION

Page 5 of 5

41. 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

42. When loading data from stage using COPY INTO, what options can you specify for the ON_ERROR clause?

CONTINUE

SKIP_FILE

ABORT_STATEMENT

FAIL

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