최신 ARA-C01 무료덤프 - Snowflake SnowPro Advanced Architect Certification

A. 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.

B. 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.

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

D. 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.

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

A. Grant ANALYST_R0LE OWNERSHIP on the database, but make sure that ANALYST_ROLE does not have the MANAGE GRANTS privilege on the account.

B. Grant ANALYST_ROLE ownership on the database, but grant the ownership on future [object type] s in database privilege to SYSADMIN.

C. Make every schema in the database a managed access schema, owned by SYSADMIN, and grant create privileges on each schema to the ANALYST_ROLE for each type of object that needs to be created.

D. Grant SYSADMIN ownership of the database, but grant the create schema privilege on the database to the ANALYST_ROLE.

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

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

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

D. 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).

A. Create an object for each tenant strategy if row level security is viable for isolating tenants.

B. Create an object for each tenant strategy if row level security is not viable for isolating tenants.

C. Create a multi-tenant table strategy if row level security is not viable for isolating tenants.

D. Create accounts for each tenant in the Snowflake organization.

A. 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.

B. 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.

C. 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.

D. 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.

A. They can support MIN and MAX aggregates.

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

C. They can include ORDER BY clauses.

D. They cannot include nested subqueries.

E. They can support inner joins, but not outer joins.

A. The CHANGES clause

B. The MERGE command

C. A STREAM object

D. The UPSERT command

E. The CHANGE_DATA_CAPTURE command

A. Avoid sharing data with partner organizations.

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

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

D. Use the External Tokenization feature to obfuscate sensitive data.

E. Use the Internal Tokenization feature to obfuscate sensitive data.

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

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

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

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

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

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

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

B. 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;

C. 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;

D. 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 ;