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The SnowPro Advanced Architect Certification Exam is a rigorous exam that evaluates the candidate’s knowledge and expertise in various areas of Snowflake architecture, including data modeling, security, performance, scalability, and data integration. ARA-C01 exam is designed to test the candidate’s ability to design, configure, and optimize Snowflake solutions to meet the specific needs of a business. The SnowPro Advanced Architect Certification Exam is a vendor-neutral certification program that is recognized by leading companies worldwide, making it a valuable credential for professionals who want to advance their career in the field of data warehousing and analytics.
Snowflake ARA-C01 exam is an advanced-level certification that is intended for individuals who have already achieved the SnowPro Core Certification. ARA-C01 exam is designed to evaluate the knowledge and expertise of professionals in areas such as data modeling, data integration, performance optimization, and security and governance.
Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Certification Exam is designed to test the ability of experienced Snowflake architects to design and implement complex Snowflake solutions. SnowPro Advanced Architect Certification certification exam is intended for professionals who have extensive experience in architecting Snowflake solutions and want to demonstrate their expertise and proficiency. ARA-C01 exam assesses the candidate's ability to design, plan, and implement Snowflake solutions in a variety of scenarios.
NEW QUESTION # 13
You are creating a TASK to query a table streams created on the raw table and insert subsets of rows into multiple tables. You are following the below steps, but when you reached the step to resume the task, you received an error message as below.
Why is this error thrown and who can give you the required privilege?
Steps to be followed to get this error
-- 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 'mywh' 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$stream_has_data('rawstream1')
as
merge into names n
using (select var:id id, var:fname fname, var:lname lname from rawstream1) r1 on n.id = to_number(r1.id)
when matched then update set n.first_name = r1.fname, n.last_name = r1.lname
when not matched then insert (id, first_name, last_name) values (r1.id, r1.fname, r1.lname)
;
-- Create another task that merges visitation records from the rawstream1 stream into the visits table
-- every minute when the stream contains records.
-- Records with new IDs are inserted into the visits table;
-- Records with IDs that exist in the visits table update the DT column in the table.
-- Replace the 'mywh' warehouse with a warehouse that your role has USAGE privilege on. create or replace task raw_to_visits
warehouse = etl_wh schedule = '1 minute' when
system$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;
- A. The role used to resume the task does not have EXECUTE TASK privilege. Only ACCOUNTADMIN can provide that privilege to the role.
- B. The role used to resume the task does not have EXECUTE TASK privilege. Both SECURITYADMIN and ACCOUNTADMIN can provide that privilege to the role.
- C. The role used to resume the task does not have EXECUTE TASK privilege. Only TASK OWNER can provide that privilege to the role.
Answer: A
NEW QUESTION # 14
Snowflake has row level security
- A. FALSE
- B. TRUE
Answer: B
NEW QUESTION # 15
Multi-cluster warehouses are best utilized for
- A. Improving the performance of slow-running queries
- B. Improving the performance of data loading
- C. Scaling resources to improve concurrency for users/queries
Answer: C
NEW QUESTION # 16
During a database cloning, if a SNOWPIPE is cloned with a fully qualified table in the COPY statement in the pipe definition (in the form of db_name.schema_name.table_name or schema_name.table_name), then what will happen?
- A. Data loading will fail when the snowpipe is triggered
- B. Snowpipe loads duplicate data into the source table
- C. All the files will be loaded into stage again
Answer: B
NEW QUESTION # 17
You have a need to make external file data available to your users with the lowest latency. The files are on an external stage in AWS.
What feature of Snowflake is the most appropriate to use
- A. SnowPipe
- B. Materialized View
- C. Secure View
Answer: A
NEW QUESTION # 18
You have turned on auto clustering in your table.
How will you monitor how much credit is getting burnt for the auto clustering in the past week for a specific table?
- A. SHOW CLUSTERING INFO
- B. SHOW AUTO CLUSTERING INFO
- C. Run the below query select * from table(information_schema.automatic_clustering_history(date_range_start=>dateadd(d, -7, current_date), date_range_end=>current_date, table_name=>'mydb.myschema.mytable'));
Answer: C
NEW QUESTION # 19
You will be using a multi cluster warehouse. You will statically control the available resources (i.e. servers) and you have large numbers of concurrent user sessions and/or queries and the numbers do not fluctuate significantly.
Which mode will you use for the warehouse?
- A. Minimized
- B. Maximized
- C. Auto-Scale
Answer: B
NEW QUESTION # 20
Following objects can be cloned in snowflake
- A. Permanent table
- B. Transient table
- C. Internal stages
- D. Temporary table
- E. External tables
Answer: A,B,D
NEW QUESTION # 21
Files arrive in an external stage every 10 seconds from a proprietary system. The files range in size from 500 K to 3 MB. The data must be accessible by dashboards as soon as it arrives.
How can a Snowflake Architect meet this requirement with the LEAST amount of coding? (Choose two.)
- A. Use a COPY command with a task.
- B. Use a materialized view on an external table.
- C. Use Snowpipe with auto-ingest.
- D. Use a combination of a task and a stream.
- E. Use the COPY INTO command.
Answer: C,D
NEW QUESTION # 22
You have created a table as below
CREATE TABLE SNOWFLAKE (FLAKE_ID INTEGER, UDEMY_COURSE VARCHAR);
Which of the below select query will fail for this table?
- A. SELECT * from Snowflake;
- B. SELECT * from "snowflake";
- C. SELECT * FROM "SNOWFLAKE";
- D. SELECT * from snowflake;
Answer: B
NEW QUESTION # 23
With default settings for multi cluster warehouse, how does snowflake determines when to start a new cluster?
- A. Immediately when either a query is queued or the system detects that there's one more query than the currently-running clusters can execute
- B. Only if the system estimates there's enough query load to keep the cluster busy for at least 4 minutes.
- C. Only if the system estimates there's enough query load to keep the cluster busy for at least 6 minutes.
Answer: A
NEW QUESTION # 24
Data replication in snowflake helps in
- A. Fail safe
- B. Data sharing
- C. Account Migration
- D. Disaster recovery
Answer: B,C,D
NEW QUESTION # 25
Which steps are recommended best practices for prioritizing cluster keys in Snowflake? (Choose two.)
- A. Choose TIMESTAMP columns with nanoseconds for the highest number of unique rows.
- B. Choose cluster columns that are actively used in the GROUP BY clauses.
- C. Choose lower cardinality columns to support clustering keys and cost effectiveness.
- D. Choose columns that are frequently used in join predicates.
- E. Choose cluster columns that are most actively used in selective filters.
Answer: D,E
NEW QUESTION # 26
If a multi-cluster warehouse is resized, the new size applies to
- A. All of the above
- B. Clusters that are started after the warehouse is resized
- C. Clusters that are currently running
Answer: A
NEW QUESTION # 27
Which statement is not true about shared database?
- A. Shared databases cannot be cloned
- B. Shared databases are read only
- C. Time travel is not supported on a shared database
- D. Shared databases can be re-shared with other accounts
Answer: D
NEW QUESTION # 28
How do you refresh a materialized view?
- A. Materialized views are automatically refreshed by snowflake and does not require manual intervention
- B. ALTER VIEW <MV_NAME> REFRESH
- C. REFRESH MATERIALIZED VIEW <MV_NAME>
Answer: A
NEW QUESTION # 29
Arrange in order of performance(least to high)
1. External Table
2. External Table with partitioning
3. Materialized View Vs External table
4. Directly querying a file from the stage
- A. 1,2,3,4
- B. 1,2,4,3
- C. 4,3,2,1
- D. 3,2,4,1
Answer: A
NEW QUESTION # 30
Suppose you have two databases D1 and D2. Theses databases contain data required by business analysts in your organization. Based on their functional responsibilities, entry level analysts should have read only access to D1, but access to D2 should be given to advanced analysts only.
Which option will you choose to setup the access?
Option 1:
Option 2:
Option 3:
- A. Option 1
- B. Option 2
- C. Option 3
Answer: C
NEW QUESTION # 31
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