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Snowflake ARA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Architect Certification Exam
Exam Number:ARA-C01
Exam Duration:115 minutes
Exam Price:$375 USD
Passing Score:750 (scaled score out of 1000)
Certificate Validity Period:2 years
Exam Format:Multiple select, Multiple choice
Related Certifications:SnowPro Core Certification
Available Languages:English
Real Exam Qty:Approximately 65
Recommended Training:Snowflake Training & Certification Learning Path
Exam Registration:Snowflake Certification Portal
Sample Questions:Snowflake ARA-C01 Sample Questions
Exam Way:Online proctored exam
Pre Condition:SnowPro Core Certification is strongly recommended and often expected before attempting the Advanced Architect exam
Official Syllabus URL:https://www.snowflake.com/certification/

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To pass the Snowflake ARA-C01 Exam, candidates need to demonstrate proficiency in various domains, including Snowflake architecture, security, data integration, performance tuning, and optimization. ARA-C01 exam is designed to evaluate the candidate's ability to design, implement and manage complex Snowflake environments that meet the business requirements of organizations. SnowPro Advanced Architect Certification certification is beneficial for architects, data engineers, and data scientists who work with Snowflake Data Cloud.

Snowflake SnowPro Advanced Architect Certification Sample Questions (Q143-Q148):

NEW QUESTION # 143
What is a characteristic of loading data into Snowflake using the Snowflake Connector for Kafka?

Answer: C


NEW QUESTION # 144
For the best performance while loading data into table from a stage, you should avoid applying patterns that filter on a large number of files.

Answer: A


NEW QUESTION # 145
Which command below will only copy the table structure from the existing table to the new table?

Answer: C


NEW QUESTION # 146
Where can you define the file format settings?

Answer: A,B,C,D


NEW QUESTION # 147
A new table and streams are created with the following commands:
CREATE OR REPLACE TABLE LETTERS (ID INT, LETTER STRING) ;
CREATE OR REPLACE STREAM STREAM_1 ON TABLE LETTERS;
CREATE OR REPLACE STREAM STREAM_2 ON TABLE LETTERS APPEND_ONLY = TRUE;
The following operations are processed on the newly created table:
INSERT INTO LETTERS VALUES (1, 'A');
INSERT INTO LETTERS VALUES (2, 'B');
INSERT INTO LETTERS VALUES (3, 'C');
TRUNCATE TABLE LETTERS;
INSERT INTO LETTERS VALUES (4, 'D');
INSERT INTO LETTERS VALUES (5, 'E');
INSERT INTO LETTERS VALUES (6, 'F');
DELETE FROM LETTERS WHERE ID = 6;
What would be the output of the following SQL commands, in order?
SELECT COUNT (*) FROM STREAM_1;
SELECT COUNT (*) FROM STREAM_2;

Answer: C

Explanation:
In Snowflake, a stream records data manipulation language (DML) changes to its base table since the stream was created or last consumed. STREAM_1 will show all changes including the TRUNCATE operation, while STREAM_2, being APPEND_ONLY, will not show deletions like TRUNCATE. Therefore, STREAM_1 will count the three inserts, the TRUNCATE (counted as a single operation), and the subsequent two inserts before the delete, totaling 4. STREAM_2 will only count the three initial inserts and the two after the TRUNCATE, totaling 3, as it does not count the TRUNCATE or the delete operation.


NEW QUESTION # 148
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