100% PASS ARA-C01 - AUTHORITATIVE FREE SNOWPRO ADVANCED ARCHITECT CERTIFICATION TEST QUESTIONS

100% Pass ARA-C01 - Authoritative Free SnowPro Advanced Architect Certification Test Questions

100% Pass ARA-C01 - Authoritative Free SnowPro Advanced Architect Certification Test Questions

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Achieving the Snowflake ARA-C01 Certification demonstrates a high level of expertise in Snowflake's cloud-based data warehousing solutions. It is a valuable credential that can help professionals stand out in the job market and advance their careers in the field of data warehousing and cloud computing.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q53-Q58):

NEW QUESTION # 53
A user has activated primary and secondary roles for a session.
What operation is the user prohibited from using as part of SQL actions in Snowflake using the secondary role?

  • A. Truncate
  • B. Delete
  • C. Create
  • D. Insert

Answer: C

Explanation:
In Snowflake, when a user activates a secondary role during a session, certain privileges associated with DDL (Data Definition Language) operations are restricted. TheCREATEstatement, which falls under DDL operations, cannot be executed using a secondary role. This limitation is designed to enforce role-based access control and ensure that schema modifications are managed carefully, typically reserved for primary roles that have explicit permissions to modify database structures.
References:Snowflake's security and access control documentation specifying the limitations and capabilities of primary versus secondary roles in session management.


NEW QUESTION # 54
What are some of the characteristics of result set caches? (Choose three.)

  • A. Snowflake persists the data results for 24 hours.
  • B. The data stored in the result cache will contribute to storage costs.
  • C. The retention period can be reset for a maximum of 31 days.
  • D. Time Travel queries can be executed against the result set cache.
  • E. Each time persisted results for a query are used, a 24-hour retention period is reset.
  • F. The result set cache is not shared between warehouses.

Answer: A,C,E

Explanation:
Explanation
Comprehensive and Detailed Explanation: According to the SnowPro Advanced: Architect documents and learning resources, some of the characteristics of result set caches are:
* Snowflake persists the data results for 24 hours. This means that the result set cache holds the results of
* every query executed in the past 24 hours, and can be reused if the same query is submitted again and the underlying data has not changed1.
* Each time persisted results for a query are used, a 24-hour retention period is reset. This means that the result set cache extends the lifetime of the results every time they are reused, up to a maximum of 31 days from the date and time that the query was first executed1.
* The retention period can be reset for a maximum of 31 days. This means that the result set cache will purge the results after 31 days, regardless of whether they are reused or not. After 31 days, the next time the query is submitted, a new result is generated and persisted1.
The other options are incorrect because they are not characteristics of result set caches. Option A is incorrect because Time Travel queries cannot be executed against the result set cache. Time Travel queries use the AS OF clause to access historical data that is stored in the storage layer, not the result set cache2. Option D is incorrect because the data stored in the result set cache does not contribute to storage costs. The result set cache is maintained by the service layer, and does not incur any additional charges1. Option F is incorrect because the result set cache is shared between warehouses. The result set cache is available across virtual warehouses, so query results returned to one user are available to any other user on the system who executes the same query, provided the underlying data has not changed1. References: Using Persisted Query Results | Snowflake Documentation, Time Travel | Snowflake Documentation


NEW QUESTION # 55
Which security, governance, and data protection features require, at a MINIMUM, the Business Critical edition of Snowflake? (Choose two.)

  • A. Federated authentication and SSO
  • B. Extended Time Travel (up to 90 days)
  • C. AWS, Azure, or Google Cloud private connectivity to Snowflake
  • D. Customer-managed encryption keys through Tri-Secret Secure
  • E. Periodic rekeying of encrypted data

Answer: C,D


NEW QUESTION # 56
When using the copy into <table> command with the CSV file format, how does the match_by_column_name parameter behave?

  • A. It expects a header to be present in the CSV file, which is matched to a case-sensitive table column name.
  • B. The command will return an error.
  • C. The command will return a warning stating that the file has unmatched columns.
  • D. The parameter will be ignored.

Answer: A


NEW QUESTION # 57
What transformations are supported in the below SQL statement? (Select THREE).
CREATE PIPE ... AS COPY ... FROM (...)

  • A. Incoming data can be joined with other tables.
  • B. Columns can be omitted.
  • C. Columns can be reordered.
  • D. The ON ERROR - ABORT statement command can be used.
  • E. Data can be filtered by an optional where clause.
  • F. Type casts are supported.

Answer: B,C,E

Explanation:
The SQL statement is a command for creating a pipe in Snowflake, which is an object that defines the COPY INTO <table> statement used by Snowpipe to load data from an ingestion queue into tables1. The statement uses a subquery in the FROM clause to transform the data from the staged files before loading it into the table2.
The transformations supported in the subquery are as follows2:
Data can be filtered by an optional WHERE clause, which specifies a condition that must be satisfied by the rows returned by the subquery. For example:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable
from (
select * from @mystage
where col1 = 'A' and col2 > 10
);
Columns can be reordered, which means changing the order of the columns in the subquery to match the order of the columns in the target table. For example:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable (col1, col2, col3)
from (
select col3, col1, col2 from @mystage
);
Columns can be omitted, which means excluding some columns from the subquery that are not needed in the target table. For example:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable (col1, col2)
from (
select col1, col2 from @mystage
);
The other options are not supported in the subquery because2:
Type casts are not supported, which means changing the data type of a column in the subquery. For example, the following statement will cause an error:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable (col1, col2)
from (
select col1::date, col2 from @mystage
);
Incoming data can not be joined with other tables, which means combining the data from the staged files with the data from another table in the subquery. For example, the following statement will cause an error:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable (col1, col2, col3)
from (
select s.col1, s.col2, t.col3 from @mystage s
join othertable t on s.col1 = t.col1
);
The ON ERROR - ABORT statement command can not be used, which means aborting the entire load operation if any error occurs. This command can only be used in the COPY INTO <table> statement, not in the subquery. For example, the following statement will cause an error:
SQLAI-generated code. Review and use carefully. More info on FAQ.
create pipe mypipe as
copy into mytable
from (
select * from @mystage
on error abort
);
Reference:
1: CREATE PIPE | Snowflake Documentation
2: Transforming Data During a Load | Snowflake Documentation


NEW QUESTION # 58
......

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