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| Section | Objectives |
|---|---|
| Topic 1: Data Loading and Unloading | - Bulk loading using stages and COPY INTO - Data unloading and external stages |
| Topic 2: Data Transformations and Querying | - SQL querying in Snowflake - Semi-structured data handling (VARIANT, JSON, Parquet) |
| Topic 3: Data Protection, Security, and Performance | - Role-based access control (RBAC) - Time Travel and Fail-safe concepts - Query performance optimization basics |
| Topic 4: Snowflake Architecture and Overview | - Snowflake architecture concepts (cloud data platform, separation of storage and compute) - Virtual warehouses and resource scaling concepts |
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NEW QUESTION # 33
Which SQL statement will require a virtual warehouse to run?
Answer: C
Explanation:
A virtual warehouse in Snowflake is used to perform data processing tasks that require computational resources, such as queries that modify data or perform significant computation. Of the options provided:
C). INSERT INTO TBL_EMPLOYEE(EMP_ID, EMP_NAME, EMP_SALARY, DEPT) VALUES(1, ' Adam
' ,20000, ' Finance ' );This SQL statement performs a data modification operation (DML) by inserting a new record into theTBL_EMPLOYEEtable, which requires computational resources provided by a virtual warehouse to execute.
References:
Snowflake Documentation: Understanding Virtual Warehouses
NEW QUESTION # 34
Which statement about billing applies to Snowflake credits?
Answer: A
Explanation:
Snowflake credits are the unit of measure for the compute resources used in Snowflake. The number of credits consumed depends on the size of the virtual warehouse and the time it is running. Larger warehouses consume more credits per hour than smaller ones, and credits are billed for the time the warehouse is active, regardless of the actual usage within that time.
References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 35
A user is loading JSON documents composed of a huge array containing multiple records into Snowflake. The user enables the strip__outer_array file format option What does the STRIP_OUTER_ARRAY file format do?
Answer: B
Explanation:
Explanation
Data Size Limitations
The VARIANT data type imposes a 16 MB size limit on individual rows.
For some semi-structured data formats (e.g. JSON), data sets are frequently a simple concatenation of multiple documents. The JSON output from some software is composed of a single huge array containing multiple records. There is no need to separate the documents with line breaks or commas, though both are supported.
If the data exceeds 16 MB, enable the STRIP_OUTER_ARRAY file format option for the COPY INTO
<table> command to remove the outer array structure and load the records into separate table rows:
copy into <table>
from @~/<file>.json
file_format = (type = 'JSON' strip_outer_array = true);
https://docs.snowflake.com/en/user-guide/semistructured-considerations.html
NEW QUESTION # 36
When used with a SELECT statement in the COPY INTO <location> command, what statement will unload data from a table as JSON?
Answer: C
NEW QUESTION # 37
Snowflake supports the use of external stages with which cloud platforms? (Choose three.)
Answer: A,D,E
NEW QUESTION # 38
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