There are two databases in an account, named fin_db and hr_db which contain payroll and employee data, respectively. Accountants and Analysts in the company require different permissions on the objects in these databases to perform their jobs. Accountants need read-write access to fin_db but only require read-only access to hr_db because the database is maintained by human resources personnel.An Architect needs to create a read-only role for certain employees working in the human resources department.Which permission sets must be granted to this role?

USAGE on database hr_db, USAGE on all schemas in database hr_db, SELECT on all tables in database hr_db

USAGE on database hr_db, SELECT on all schemas in database hr_db, SELECT on all tables in database hr_db

MODIFY on database hr_db, USAGE on all schemas in database hr_db, USAGE on all tables in database hr_db

USAGE on database hr_db, USAGE on all schemas in database hr_db, REFERENCES on all tables in database hr_db

An Architect runs the following SQL query: How can this query be interpreted?

FILEROWS is a stage. FILE_ROW_NUMBER is line number in file.

FILEROWS is the table. FILE_ROW_NUMBER is the line number in the table.

FILEROWS is a file. FILE_ROW_NUMBER is the file format location.

FILERONS is the file format location. FILE_ROW_NUMBER is a stage.

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 USAGE ON DATABASE SANDBOX TO ROLE INTERN;

GRANT USAGE ON SCHEMA SANDBOX.PUBLIC TO ROLE INTERN;

GRANT ROLE PUBLIC TO ROLE INTERN;

GRANT USAGE ON DATABASE SANDBOX TO ROLE INTERN;

GRANT USAGE ON SCHEMA SANDBOX.PUBLIC TO ROLE INTERN;

GRANT OWNERSHIP ON DATABASE SANDBOX TO USER INTERN;

GRANT ALL PRIVILEGES ON DATABASE SANDBOX TO ROLE INTERN;

A DevOps team has a requirement for recovery of staging tables used in a complex set of data pipelines. The staging tables are all located in the same staging schema. One of the requirements is to have online recovery of data on a rolling 7-day basis.After setting up the DATA_RETENTION_TIME_IN_DAYS at the database level, certain tables remain unrecoverable past 1 day.What would cause this to occur? (Choose two.)

The DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.

The staging tables are of the TRANSIENT type.

The staging schema has not been setup for MANAGED ACCESS.

The DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.

The tables exceed the 1 TB limit for data recovery.

The staging tables are of the TRANSIENT type.

The DevOps role should be granted ALLOW_RECOVERY privilege on the staging schema.

Consider the following COPY command which is loading data with CSV format into a Snowflake table from an internal stage through a data transformation query. This command results in the following error:SQL compilation error: invalid parameter 'validation_mode'Assuming the syntax is correct, what is the cause of this error?

The VALIDATION_MODE parameter does not support COPY statements that transform data during a load.

The VALIDATION_MODE parameter supports COPY statements that load data from external stages only.

The VALIDATION_MODE parameter does not support COPY statements with CSV file formats.

The VALIDATION_MODE parameter does not support COPY statements that transform data during a load.

The value return_all_errors of the option VALIDATION_MODE is causing a compilation error.

A company is designing high availability and disaster recovery plans and needs to maximize redundancy and minimize recovery time objectives for their critical application processes. Cost is not a concern as long as the solution is the best available. The plan so far consists of the following steps:1. Deployment of Snowflake accounts on two different cloud providers.2. Selection of cloud provider regions that are geographically far apart.3. The Snowflake deployment will replicate the databases and account data between both cloud provider accounts.4. Implementation of Snowflake client redirect.What is the MOST cost-effective way to provide the HIGHEST uptime and LEAST application disruption if there is a service event?

Connect the applications using the <organization_name>-<accountLocator> URL. Use the Business Critical Snowflake edition.

Connect the applications using the <organization_name>-<connection_name> URL. Use the Business Critical Snowflake edition.

Connect the applications using the <organization_name>-<connection_name> URL. Use the Virtual Private Snowflake (VPS) edition.

Connect the applications using the <organization_name>-<accountLocator> URL. Use the Enterprise Snowflake edition.

Connect the applications using the <organization_name>-<accountLocator> URL. Use the Business Critical Snowflake edition.

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.

Why might a Snowflake Architect use a star schema model rather than a 3NF model when designing a data architecture to run in Snowflake? (Select TWO).

The Bl tool needs a data model that allows users to summarize facts across different dimensions, or to drill down from the summaries.

The Architect wants to present a simple flattened single view of the data to a particular group of end users.

Snowflake cannot handle the joins implied in a 3NF data model.

The Architect wants to remove data duplication from the data stored in Snowflake.

The Architect is designing a landing zone to receive raw data into Snowflake.

The Bl tool needs a data model that allows users to summarize facts across different dimensions, or to drill down from the summaries.

The Architect wants to present a simple flattened single view of the data to a particular group of end users.

An Architect is troubleshooting a query with poor performance using the QUERY_HIST0RY function. The Architect observes that the COMPILATIONJHME is greater than the EXECUTIONJTIME.What is the reason for this?

The query has overly complex logic.

The query is processing a very large dataset.

The query has overly complex logic.

The query is queued for execution.

The query is reading from remote storage.

A Snowflake Architect is designing a multiple-account design strategy.This strategy will be MOST cost-effective with which scenarios? (Select TWO).

The company needs to share data between two databases, where one must support Payment Card Industry Data Security Standard (PCI DSS) compliance but the other one does not.

The company needs to support different role-based access control features for the development, test, and production environments.

The company wants to clone a production database that resides on AWS to a development database that resides on Azure.

The company needs to share data between two databases, where one must support Payment Card Industry Data Security Standard (PCI DSS) compliance but the other one does not.

The company needs to support different role-based access control features for the development, test, and production environments.

The company security policy mandates the use of different Active Directory instances for the development, test, and production environments.

The company must use a specific network policy for certain users to allow and block given IP addresses.

The following table exists in the production database:A regulatory requirement states that the company must mask the username for events that are older than six months based on the current date when the data is queried.How can the requirement be met without duplicating the event data and making sure it is applied when creating views using the table or cloning the table?

Use a masking policy on the username column with event_timestamp as a conditional column.

Use a masking policy on the username column using a entitlement table with valid dates.

Use a row level policy on the user_events table using a entitlement table with valid dates.

Use a masking policy on the username column with event_timestamp as a conditional column.

Use a secure view on the user_events table using a case statement on the username column.

What is a characteristic of event notifications in Snowpipe?

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

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.

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

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

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.

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

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

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-minutes range.

A global company needs to securely share its sales and Inventory data with a vendor using a Snowflake account.The company has its Snowflake account In the AWS eu-west 2 Europe (London) region. The vendor's Snowflake account Is on the Azure platform in the West Europe region. How should the company's Architect configure the data share?

1. Create a share. 2. Add objects to the share. 3. Add a consumer account to the share for the vendor to access.

1. Create a share. 2. Create a reader account for the vendor to use. 3. Add the reader account to the share.

1. Create a new role called db_share. 2. Grant the db_share role privileges to read data from the company database and schema. 3. Create a user for the vendor. 4. Grant the ds_share role to the vendor's users.

1. Promote an existing database in the company's local account to primary. 2. Replicate the database to Snowflake on Azure in the West-Europe region. 3. Create a share and add objects to the share. 4. Add a consumer account to the share for the vendor to access.

A company wants to Integrate its main enterprise identity provider with federated authentication with Snowflake.The authentication integration has been configured and roles have been created in Snowflake. However, the users are not automatically appearing in Snowflake when created and their group membership is not reflected in their assigned rotes.How can the missing functionality be enabled with the LEAST amount of operational overhead?

SCIM must be enabled between the identity provider and Snowflake. Once both are synchronized through SCIM. users will automatically get created and their group membership will be reflected as roles In Snowflake.

OAuth must be configured between the identity provider and Snowflake. Then the authorization server must be configured with the right mapping of users and roles.

OAuth must be configured between the identity provider and Snowflake. Then the authorization server must be configured with the right mapping of users, and the resource server must be configured with the right mapping of role assignment.

SCIM must be enabled between the identity provider and Snowflake. Once both are synchronized through SCIM, their groups will get created as group accounts in Snowflake and the proper roles can be granted.

SCIM must be enabled between the identity provider and Snowflake. Once both are synchronized through SCIM. users will automatically get created and their group membership will be reflected as roles In Snowflake.

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?

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

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 JSON.

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

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

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<Stbl_ref> 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);

A data platform team creates two multi-cluster virtual warehouses with the AUTO_SUSPEND value set to NULL on one. and '0' on the other. What would be the execution behavior of these virtual warehouses?

Setting a '0' value means the warehouses will suspend immediately, and NULL means the warehouses will never suspend.

Setting a '0' or NULL value means the warehouses will never suspend.

Setting a '0' or NULL value means the warehouses will suspend immediately.

Setting a '0' or NULL value means the warehouses will suspend after the default of 600 seconds.

Setting a '0' value means the warehouses will suspend immediately, and NULL means the warehouses will never suspend.

A user named USER_01 needs access to create a materialized view on a schema EDW. STG_SCHEM

How can this access be provided?

GRANT CREATE MATERIALIZED VIEW ON SCHEMA EDW.STG_SCHEMA TO USER USER_01;

GRANT CREATE MATERIALIZED VIEW ON DATABASE EDW TO USER USERJD1;

GRANT ROLE NEW_ROLE TO USER USER_01; GRANT CREATE MATERIALIZED VIEW ON SCHEMA ECW.STG_SCHEKA TO NEW_ROLE;

GRANT ROLE NEW_ROLE TO USER_01; GRANT CREATE MATERIALIZED VIEW ON EDW.STG_SCHEMA TO NEW_ROLE;

An Architect Is designing a data lake with Snowflake. The company has structured, semi-structured, and unstructured data. The company wants to save the data inside the data lake within the Snowflake system. The company is planning on sharing data among Its corporate branches using Snowflake data sharing.What should be considered when sharing the unstructured data within Snowflake?

A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with the 'expiration_time' argument defined for the URL time limit.

A pre-signed URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with no time limit for the URL.

A scoped URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 24-hour time limit for the URL.

A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with a 7-day time limit for the URL.

A file URL should be used to save the unstructured data into Snowflake in order to share data over secure views, with the 'expiration_time' argument defined for the URL time limit.

Consider the following scenario where a masking policy is applied on the CREDICARDND column of the CREDITCARDINFO table. The masking policy definition Is as follows: Sample data for the CREDITCARDINFO table is as follows:NAME EXPIRYDATE CREDITCARDNOJOHN DOE 2022-07-23 4321 5678 9012 1234if the Snowflake system rotes have not been granted any additional roles, what will be the result?

Anyone with the Pl_ANALYTICS role will see the CREDICARDND column as*** 'MASKED* **'.

The sysadmin can see the CREDICARDND column data in clear text.

The owner of the table will see the CREDICARDND column data in clear text.

Anyone with the Pl_ANALYTICS role will see the last 4 characters of the CREDICARDND column data in dear text.

Anyone with the Pl_ANALYTICS role will see the CREDICARDND column as*** 'MASKED* **'.

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?

Use on error = SKIP_FILE in the copy into command.

Use ON_ERROR = continue in the copy into command.

Use purge = TRUE in the copy into command.

Use FURGE = FALSE in the copy into command.

Use on error = SKIP_FILE in the copy into command.

An Architect is troubleshooting a query with poor performance using the QUERY function. The Architect observes that the COMPILATION_TIME Is greater than the EXECUTION_TIME.What is the reason for this?

The query has overly complex logic.

The query is processing a very large dataset.

The query has overly complex logic.

The query Is queued for execution.

The query Is reading from remote storage

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'.

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

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.

An Architect needs to automate the daily Import of two files from an external stage into Snowflake. One file has Parquet-formatted data, the other has CSV-formatted data.How should the data be joined and aggregated to produce a final result set?

Create a task using Snowflake scripting that will import the files, and then call a User-Defined Function (UDF) to produce the final result set.

Use Snowpipe to ingest the two files, then create a materialized view to produce the final result set.

Create a task using Snowflake scripting that will import the files, and then call a User-Defined Function (UDF) to produce the final result set.

Create a JavaScript stored procedure to read. join, and aggregate the data directly from the external stage, and then store the results in a table.

Create a materialized view to read, Join, and aggregate the data directly from the external stage, and use the view to produce the final result set

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.

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 invoker_role targeting the executing role in a SQL statement.

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.

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).

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.

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.

A company needs to share its product catalog data with one of its partners. The product catalog data is stored in two database tables: product_category, and product_details. Both tables can be joined by the product_id column. Data access should be governed, and only the partner should have access to the records.The partner is not a Snowflake customer. The partner uses Amazon S3 for cloud storage.Which design will be the MOST cost-effective and secure, while using the required Snowflake features?

Create a reader account for the partner and share the data sets as secure views.

Use Secure Data Sharing with an S3 bucket as a destination.

Publish product_category and product_details data sets on the Snowflake Marketplace.

Create a database user for the partner and give them access to the required data sets.

Create a reader account for the partner and share the data sets as secure views.

A company has a Snowflake environment running in AWS us-west-2 (Oregon). The company needs to share data privately with a customer who is running their Snowflake environment in Azure East US 2 (Virginia).What is the recommended sequence of operations that must be followed to meet this requirement?

1. Create a new Snowflake account in Azure East US 2 (Virginia) 2. Set up replication between AWS us-west-2 (Oregon) and Azure East US 2 (Virginia) for the database objects to be shared 3. Create a share and add the database privileges to the share 4. Alter the share and add the customer's Snowflake account to the share

1. Create a share and add the database privileges to the share 2. Create a new listing on the Snowflake Marketplace 3. Alter the listing and add the share 4. Instruct the customer to subscribe to the listing on the Snowflake Marketplace

1. Ask the customer to create a new Snowflake account in Azure EAST US 2 (Virginia) 2. Create a share and add the database privileges to the share 3. Alter the share and add the customer's Snowflake account to the share

1. Create a new Snowflake account in Azure East US 2 (Virginia) 2. Set up replication between AWS us-west-2 (Oregon) and Azure East US 2 (Virginia) for the database objects to be shared 3. Create a share and add the database privileges to the share 4. Alter the share and add the customer's Snowflake account to the share

1. Create a reader account in Azure East US 2 (Virginia) 2. Create a share and add the database privileges to the share 3. Add the reader account to the share 4.

Company A has recently acquired company B. The Snowflake deployment for company B is located in the Azure West Europe region.As part of the integration process, an Architect has been asked to consolidate company B's sales data into company A's Snowflake account which is located in the AWS us-east-1 region.How can this requirement be met?

Replicate the sales data from company B's Snowflake account into company A's Snowflake account using cross-region data replication within Snowflake. Configure a direct share from company B's account to company A's account.

Export the sales data from company B's Snowflake account as CSV files, and transfer the files to company A's Snowflake account. Import the data using Snowflake's data loading capabilities.

Migrate company B's Snowflake deployment to the same region as company A's Snowflake deployment, ensuring data locality. Then perform a direct database-to-database merge of the sales data.

Build a custom data pipeline using Azure Data Factory or a similar tool to extract the sales data from company B's Snowflake account. Transform the data, then load it into company A's Snowflake account.

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?

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*

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

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 data2. Keep egress costs to a minimum3. Maintain low latencyHow can these requirements be met with the LEAST amount of operational overhead?

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

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.

Snowflake ARA-C01 Practice Test 3 - Free Online Exam Questions 81-120

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.)

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Snowflake ARA-C01 Practice Test 3

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Snowflake ARA-C01 Practice Tests

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