ARA-C01 무료 덤프문제 온라인 액세스

An Architect has selected the Snowflake Connector for Python to integrate and manipulate Snowflake data using Python to handle large data sets and complex analyses.
Which features should the Architect consider in terms of query execution and data type conversion? (Select TWO).

• A.The Connector supports asynchronous and synchronous queries.
• B.The Connector converts data types to STRING by default.
• C.The large queries will require conn.cursor() to execute.
• D.The Connector converts Snowflake data types to native Python data types by default.
• E.The Connector converts NUMBER data types to DECIMAL by default.

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?

• A.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*
• B.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;
• C.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;
• D.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

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

• A.
• B.
• C.
• D.
• E.

An Architect wants to stream website logs near real time to Snowflake using the Snowflake Connector for Kafka.
What characteristics should the Architect consider regarding the different ingestion methods? (Select TWO).

• A.Snowpipe Streaming automatically flushes data every one second.
• B.Snowpipe Streaming supports schema detection.
• C.Snowflake can handle jumps or resetting offsets by default.
• D.Snowpipe Streaming is the default ingestion method.
• E.Snowpipe has lower latency than Snowpipe Streaming.

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 CREDITCARDNO
JOHN DOE 2022-07-23 4321 5678 9012 1234
if the Snowflake system rotes have not been granted any additional roles, what will be the result?

• A.Anyone with the Pl_ANALYTICS role will see the CREDICARDND column as*** 'MASKED* **'.
• B.The sysadmin can see the CREDICARDND column data in clear text.
• C.Anyone with the Pl_ANALYTICS role will see the last 4 characters of the CREDICARDND column data in dear text.
• D.The owner of the table will see the CREDICARDND column data in clear text.