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The SnowPro Advanced Architect Certification exam is designed to test the candidate's ability to design, implement, and manage secure, scalable, and reliable Snowflake solutions. ARA-C01 Exam covers a broad range of topics, including Snowflake architecture, data modeling, security, performance optimization, scalability, and migration. Successful candidates will demonstrate their ability to design and implement Snowflake solutions that meet the complex data management needs of organizations.

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q157-Q162):

NEW QUESTION # 157
A data share exists between a provider and a consumer account. Five tables are already shared, and the consumer role has been granted IMPORTED PRIVILEGES.
What happens if a new table is added to the provider schema?

A. The consumer automatically sees the new table.
B. The consumer sees the table after USAGE is granted on the database and schema and SELECT is granted on the table to the consumer database.
C. The consumer sees the table after granting IMPORTED PRIVILEGES again on the consumer side.
D. The consumer sees the table only after SELECT is granted on the new table to the share on the provider side.

Answer: D

Explanation:
In Snowflake Secure Data Sharing, adding a new table to an existing schema does not automatically make it visible to consumers. The provider must explicitly grant SELECT on the new table to the share (Answer C).
This ensures intentional and controlled data exposure.
Once the grant is applied on the provider side, consumer roles that already have IMPORTED PRIVILEGES will automatically see the new table without requiring additional grants on the consumer account. This separation of responsibilities is a core Snowflake governance principle.
This question reinforces SnowPro Architect knowledge of provider-versus-consumer responsibilities in Secure Data Sharing.
=========

NEW QUESTION # 158
Which command below will load data from result_scan to a table?

A. CREATE OR REPLACE TABLE STORE_FROM_RESULT_SCAN AS select * from table(result_scan(last_query_id()));
B. CREATE OR REPLACE TABLE STORE_FROM_RESULT_SCAN AS select * from result_scan(last_query_id());
C. INSERT INTO STORE_FROM_RESULT_SCAN select * from result_scan(last_query_id());

Answer: A

NEW QUESTION # 159
What transformations are supported in the following SQL statement? (Select THREE).
CREATE PIPE ... AS
COPY INTO ...
FROM ( ... )

A. Type casts are supported.
B. Columns can be omitted.
C. Columns can be reordered.
D. Incoming data can be joined with other tables.
E. The ON_ERROR = ABORT_STATEMENT command can be used.
F. Data can be filtered by an optional WHERE clause.

Answer: A,C,F

Explanation:
Snowflake's COPY INTO statement (including when used with Snowpipe) supports a limited but useful set of transformations. Data can be filtered using a WHERE clause when loading from a staged SELECT statement, enabling simple row-level filtering (Answer A). Columns can also be reordered by explicitly selecting fields in a different order than they appear in the source (Answer B). Additionally, type casting is supported, allowing raw data to be cast into target column data types during ingestion (Answer D).
However, COPY INTO does not support joins with other tables; it is designed for ingestion, not complex transformations. Columns can be omitted implicitly by not selecting them, but this is not considered a transformation feature in the context of Snowpipe exam questions. The ON_ERROR option is an error- handling configuration, not a transformation.
SnowPro Architect candidates are expected to recognize that COPY INTO and Snowpipe are ingestion- focused tools. More complex transformations should be handled downstream using streams and tasks, dynamic tables, or transformation frameworks like dbt.
=========

NEW QUESTION # 160
In the default access control hierarchy, both securityadmin and sysadmin are owned by accountadmin

A. TRUE
B. FALSE

Answer: A

NEW QUESTION # 161
Which columns can be included in an external table schema? (Select THREE).

A. METADATASEXTERNAL TABLE PARTITION
B. METADATASROW_ID
C. METADAT A$ FILENAME
D. METADATAS FILE_ROW_NUMBER
E. METADATASISUPDATE
F. VALUE

Answer: C,D,F

Explanation:
An external table schema defines the columns and data types of the data stored in an external stage. All external tables include the following columns by default:
* VALUE: A VARIANT type column that represents a single row in the external file.
* METADATA$FILENAME: A pseudocolumn that identifies the name of each staged data file included in the external table, including its path in the stage.
* METADATA$FILE_ROW_NUMBER: A pseudocolumn that shows the row number for each record in a staged data file.
You can also create additional virtual columns as expressions using the VALUE column and/or the pseudocolumns. However, the following columns are not valid for external tables and cannot be included in the schema:
* METADATASROW_ID: This column is only available for internal tables and shows the unique identifier for each row in the table.
* METADATASISUPDATE: This column is only available for internal tables and shows whether the row was inserted or updated by a merge operation.
* METADATASEXTERNAL TABLE PARTITION: This column is not a valid column name and does not exist in Snowflake.
References: Introduction to External Tables, CREATE EXTERNAL TABLE

NEW QUESTION # 162
......

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Snowflake ARA-C01 Latest Test Cost - Answers ARA-C01 Free

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Answers ARA-C01 Free, New ARA-C01 Braindumps Sheet

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q157-Q162):

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