最新ARA-C01合格保証試験問題集には正確で最新な問題があります [Q40-Q54]

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最新ARA-C01合格保証試験問題集には正確で最新な問題があります

ARA-C01試験ブレーン問題集で学習注釈と理論

Snowflake ARA-C01試験は、Snowflakeテクノロジーでの豊富な経験を持ち、Snowflakeプラットフォーム、その機能や機能、Snowflakeアーキテクチャに強い理解を持つ個人を対象としています。この試験は、候補者のSnowflakeのデータウェアハウス、データ処理、データ統合の能力をテストし、複雑なSnowflakeソリューションの設計と実装能力を評価します。

質問40、 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.

質問41、 Which privilege grants ability to set a Column-level Security masking policy on a table or view column.

APPLY MASKING POLICY

APPLY MASK

ALTER COLUMN MASK

質問42、 How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?

Create multiple clustering keys for a table.

Create multiple materialized views with different cluster keys.

Create super projections that will automatically create clustering.

Create a clustering key that contains all columns used in the access paths.

質問43、 create or replace table result_scan_table as
select * from table(result_scan(last_query_id()));
Will the above query cost you any compute credits?

It will not cost any compute credit because this query is a metadata operation

It will cost compute credit because processing is required to insert the data into result_scan_table

It will depend on the warehouse chosen

質問44、 You have a table named customer_table. You want to create another table as customer_table_other which will be same as customer_table with respect to schema and data.
What is the best option?

CREATE TABLE customer_table_other CLONE customer_table

CREATE TABLE customer_table_other AS SELECT * FROM customer_table

ALTER TABLE customer_table_other SWAP WITH customer_table

質問45、 The kafka connector creates one pipe for each partition in a Kafka topic.

TRUE

FALSE

質問46、 It is recommended to assign ACCOUNTADMIN role to atleast two user

TRUE

FALSE

質問47、 A user needs access to create materialized view on a shema mydb.myschema.
What is the appropriate command to provide the access?

GRANT ROLE MYROLE TO USER USER1; GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO MYROLE;

GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO USER USER1;

GRANT CREATE MATERIALIZED VIEW ON SCHEMA MYDB.MYSCHEMA TO USER1;

質問48、 Select the true statement

Privileges are granted to roles. Roles are granted to users

Privileges are granted to users. Users are granted to roles

Privileges are granted to both roles and users

質問49、 You can define a clustering key directly on top of VARIANT columns

TRUE

FALSE

質問50、 All multi cluster warehouses that were using the Legacy policy now use the default Standard policy

TRUE

FALSE

質問51、 With default settings for multi cluster warehouse, how does snowflake determines when to start a new cluster?

Immediately when either a query is queued or the system detects that there’s one more query than the currently-running clusters can execute

Only if the system estimates there’s enough query load to keep the cluster busy for at least 6 minutes.

Only if the system estimates there’s enough query load to keep the cluster busy for at least 4 minutes.

質問52、 An Architect needs to grant a group of ORDER_ADMIN users the ability to clean old data in an ORDERS table (deleting all records older than 5 years), without granting any privileges on the table. The group’s manager (ORDER_MANAGER) has full DELETE privileges on the table.
How can the ORDER_ADMIN role be enabled to perform this data cleanup, without needing the DELETE privilege held by the ORDER_MANAGER role?

Create a stored procedure that runs with caller’s rights, including the appropriate “> 5 years” business logic, and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.

Create a stored procedure that can be run using both caller’s and owner’s rights (allowing the user to specify which rights are used during execution), and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.

Create a stored procedure that runs with owner’s rights, including the appropriate “> 5 years” business logic, and grant USAGE on this procedure to ORDER_ADMIN. The ORDER_MANAGER role owns the procedure.

This scenario would actually not be possible in Snowflake – any user performing a DELETE on a table requires the DELETE privilege to be granted to the role they are using.

質問53、 When unloading from a snowflake table to an internal or external stage, the COPY INTO command supports which of the below ones?

String truncation

Reordering columns

Casts

Join

Omission of columns

質問54、 Which command below will load data from result_scan to a table?

CREATE OR REPLACE TABLE STORE_FROM_RESULT_SCAN AS select * from table(result_scan(last_query_id()));

CREATE OR REPLACE TABLE STORE_FROM_RESULT_SCAN AS select * from result_scan(last_query_id());

INSERT INTO STORE_FROM_RESULT_SCAN select * from result_scan(last_query_id());

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