Test ARA-C01 Testking | Latest ARA-C01 Exam Vce
Test ARA-C01 Testking | Latest ARA-C01 Exam Vce
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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q141-Q146):
NEW QUESTION # 141
Which copy options are not supported by CREATE PIPE...AS COPY FROM command?
- A. MATCH_BY_COLUMN_NAME = CASE_SENSITIVE | CASE_INSENSITIVE | NONE
- B. VALIDATION_MODE = RETURN_n_ROWS | RETURN_ERRORS | RETURN_ALL_ERRORS
- C. FORCE = TRUE | FALSE
- D. FILES = ( 'file_name1' [ , 'file_name2', ... ] )
- E. ON_ERROR = ABORT_STATEMENT
Answer: A,B,C,D,E
NEW QUESTION # 142
Let's say that you have two JSONs as below
1. {"stuId":2000, "stuName":"Amy"}
2. {"stuId":2000,"stuCourse":"Snowflake"}
How will you write a query that will check if stuId in JSON in #1 is also there in JSON in#2
- A. with stu_demography as (select parse_json(column1) as src, src['STUID'] as ID from values('{"stuId":2000, "stuName":"Amy"}')), stu_course as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;
- B. SELECT CONTAINS('{"stuId":2000, "stuName":"Amy"}','{"stuId":2000,"stuCourse":"Snowflake"}');
- C. stu_course as (select parse_json(column1) as src, src:stuId as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;
- D. with stu_demography as (select parse_json(column1) as src, src:stuId as ID from values('{"stuId":2000, "stuName":"Amy"}')),
- E. with stu_demography as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000, "stuName":"Amy"}')), stu_course as (select parse_json(column1) as src, src['stuId'] as ID from values('{"stuId":2000,"stuCourse":"Snowflake"}')) select case when stdemo.ID in(select ID from stu_course) then 'True' else 'False' end as result from stu_demography stdemo;
Answer: C,E
NEW QUESTION # 143
You have create a task as below
CREATE TASK mytask1
WAREHOUSE = mywh
SCHEDULE = '5 minute'
WHEN
SYSTEM$STREAM_HAS_DATA('MYSTREAM')
AS
INSERT INTO mytable1(id,name) SELECT id, name FROM mystream WHERE METADATA$ACTION = 'INSERT';
Which statement is true below?
- A. If SYSTEM$STREAM_HAS_DATA returns false, the task will still run
- B. If SYSTEM$STREAM_HAS_DATA returns false, the task will be skipped
- C. If SYSTEM$STREAM_HAS_DATA returns false, the task will go to suspended mode
Answer: B
NEW QUESTION # 144
Bytes spilled to remote storage in query profile indicates volume of data spilled to remote disk
- A. TRUE
- B. FALSE
Answer: A
NEW QUESTION # 145
Create a task and a stream following the below steps. So, when the
system$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 executed but no rows will be merged
- C. Task will be skipped
Answer: C
NEW QUESTION # 146
......
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