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The SnowPro Advanced Architect Certification is a comprehensive exam that tests the candidate's knowledge of Snowflake's advanced features, including Snowflake data sharing, multi-cluster and multi-region data replication, and advanced security features. It tests the candidate's ability to design and implement Snowflake environments that are highly scalable, performant, and secure. SnowPro Advanced Architect Certification certification also validates the candidate's ability to troubleshoot complex Snowflake environments and resolve performance issues.
Snowflake ARA-C01: SnowPro Advanced Architect Certification Exam is a comprehensive assessment designed to measure an individual's knowledge and expertise in advanced Snowflake architecture. It is the highest-level certification offered by Snowflake and is an essential step for professionals looking to advance their careers in the field of data warehousing and cloud computing.
NEW QUESTION # 33
Files stored in snowflake internal stage are automatically encrypted using either AES 128 or 256 strong encryption.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 34
Create a task and a stream following the below steps. So, when the
system$stream_has_data('rawstream1') condition returns false, what will happen to the task ?
-- Create a landing table to store raw JSON data.
-- Snowpipe could load data into this table. create or replace table raw (var variant);
-- Create a stream to capture inserts to the landing table.
-- A task will consume a set of columns from this stream. create or replace stream rawstream1 on table raw;
-- Create a second stream to capture inserts to the landing table.
-- A second task will consume another set of columns from this stream. create or replace stream rawstream2 on table raw;
-- Create a table that stores the names of office visitors identified in the raw data. create or replace table names (id int, first_name string, last_name string);
-- Create a table that stores the visitation dates of office visitors identified in the raw data.
create or replace table visits (id int, dt date);
-- Create a task that inserts new name records from the rawstream1 stream into the names table
-- every minute when the stream contains records.
-- Replace the 'etl_wh' warehouse with a warehouse that your role has USAGE privilege on. create or replace task raw_to_names
warehouse = etl_wh schedule = '1 minute' when
system$stream_has_data('rawstream1') as
merge into names n
using (select var:id id, var:fname fname, var:lname lname from rawstream1) r1 on n.id = to_number(r1.id)
when matched then update set n.first_name = r1.fname, n.last_name = r1.lname
when not matched then insert (id, first_name, last_name) values (r1.id, r1.fname, r1.lname)
;
-- Create another task that merges visitation records from the rawstream1 stream into the visits table
-- every minute when the stream contains records.
-- Records with new IDs are inserted into the visits table;
-- Records with IDs that exist in the visits table update the DT column in the table.
-- Replace the 'etl_wh' warehouse with a warehouse that your role has USAGE privilege on. create or replace task raw_to_visits
warehouse = etl_wh schedule = '1 minute' when
system$stream_has_data('rawstream2') as
merge into visits v
using (select var:id id, var:visit_dt visit_dt from rawstream2) r2 on v.id = to_number(r2.id) when matched then update set v.dt = r2.visit_dt
when not matched then insert (id, dt) values (r2.id, r2.visit_dt)
;
-- Resume both tasks.
alter task raw_to_names resume;
alter task raw_to_visits resume;
-- Insert a set of records into the landing table. insert into raw
select parse_json(column1) from values
('{"id": "123","fname": "Jane","lname": "Smith","visit_dt": "2019-09-17"}'),
('{"id": "456","fname": "Peter","lname": "Williams","visit_dt": "2019-09-17"}');
-- Query the change data capture record in the table streams select * from rawstream1;
select * from rawstream2;
- A. Task will return an warning message
- B. Task will be skipped
- C. Task will be executed but no rows will be merged
Answer: B
NEW QUESTION # 35
To convert JSON null value to SQL null value, you will use
- A. IS_NULL_VALUE
- B. STRIP_NULL_VALUE
- C. NULL_IF
Answer: B
NEW QUESTION # 36
What built-in Snowflake features make use of the change tracking metadata for a table? (Choose two.)
- A. A STREAM object
- B. The CHANGES clause
- C. The MERGE command
- D. Thee CHANGE_DATA_CAPTURE command
- E. The UPSERT command
Answer: A,B
NEW QUESTION # 37
What is a valid object hierarchy when building a Snowflake environment?
- A. Account --> Database --> Schema --> Warehouse
- B. Account --> Schema > Table --> Stage
- C. Organization --> Account --> Stage --> Table --> View
- D. Organization --> Account --> Database --> Schema --> Stage
Answer: D
NEW QUESTION # 38
The IT Security team has identified that there is an ongoing credential stuffing attack on many of their organization's system.
What is the BEST way to find recent and ongoing login attempts to Snowflake?
- A. Call the LOGIN_HISTORY Information Schema table function.
- B. View the Users section in the Account tab in the Snowflake UI and review the last login column.
- C. View the History tab in the Snowflake UI and set up a filter for SQL text that contains the text "LOGIN".
- D. Query the LOGIN_HISTORY view in the ACCOUNT_USAGE schema in the SNOWFLAKE database.
Answer: A
NEW QUESTION # 39
Which of the below commands will use warehouse credits?
- A. SELECT MAX(FLAKE_ID) FROM SNOWFLAKE;
- B. SHOW TABLES LIKE 'SNOWFL%';
- C. SELECT COUNT(*) FROM SNOWFLAKE;
- D. SELECT COUNT(FLAKE_ID) FROM SNOWFLAKE GROUP BY FLAKE_ID;
Answer: D
NEW QUESTION # 40
Which of the two are limitations of the insertReport API of SnowPipe?
- A. Events are retained for a maximum of 24 hours
- B. Events are retained for a maximum of 10 minutes
- C. The 10,000 most recent events are retained
Answer: B,C
NEW QUESTION # 41
A user who has SELECT privilege on a view does not also need SELECT privilege on the tables that the view uses
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 42
What is the data size limit for loading into a variant column?
- A. 32 GB
- B. 1 GB(Compressed)
- C. 10 MB - 100 MB compressed
- D. 16 MB(Compressed)
Answer: D
NEW QUESTION # 43
For which use cases, will you use cross-cloud and cross-region replication?
- A. All of these
- B. Data portability and account migrations
- C. Secure data sharing across regions/cloud
- D. Business continuity and disaster recovery
Answer: A
NEW QUESTION # 44
You ran the below query and it took a long time to run
select itembarcode from checkouts where BIBNUMBER = '2213435';
The clustering information shows the below result.
What can you derive from this information
select system$clustering_information('checkouts','(BIBNUMBER)');
- A. The query is running slow because BIBNUMBER does not have an index created on it.
- B. The data is not clustered well by BIBNUMBER and it is spread across all the micro-partitions, hence to retrieve a small number of micro-partitions, the query has to scan all the partitions in the table
- C. The query is running slow because the warehouse does not have enough memory
Answer: B
NEW QUESTION # 45
When using the Snowflake Connector for Kafka, what data formats are supported for the messages? (Choose two.)
- A. JSON
- B. Avro
- C. CSV
- D. XML
- E. Parquet
Answer: A,B
NEW QUESTION # 46
An Architect is designing a pipeline to stream event data into Snowflake using the Snowflake Kafka connector. The Architect's highest priority is to configure the connector to stream data in the MOST cost-effective manner.
Which of the following is recommended for optimizing the cost associated with the Snowflake Kafka connector?
- A. Utilize a lower Buffer.size.bytes in the connector configuration.
- B. Utilize a lower Buffer.count.records in the connector configuration.
- C. Utilize a higher Buffer.size.bytes in the connector configuration.
- D. Utilize a higher Buffer.flush.time in the connector configuration.
Answer: B
NEW QUESTION # 47
When a cloned table is replicated to a secondary database, the data also gets replicated in the secondary database
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 48
Which semi-structured data function returns an OBJECT constructed from the arguments.
- A. OBJECT_CONSTRUCT
- B. OBJECT_INSPECT
- C. OBJECT_ARRAY
Answer: A
NEW QUESTION # 49
Privileges granted on database objects are not replicated to a secondary database.
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 50
For authentication, snowflake Kafka connector relies on:
- A. key pair authentication
- B. username/password
- C. Both key pair authentication and username/password
Answer: A
NEW QUESTION # 51
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Snowflake ARA-C01: SnowPro Advanced Architect Certification Exam is a highly respected and sought-after certification in the field of data warehousing and cloud computing. It is designed to test the advanced knowledge and skills of architects who are responsible for designing and implementing complex data warehousing solutions using Snowflake's cloud data platform. Passing ARA-C01 exam demonstrates the candidate's expertise in designing and implementing scalable and high-performance data warehouses, data lakes, and data pipelines using Snowflake's cloud data platform.
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