迷わずにこの一冊COF-C02問題集

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Snowflake COF-C02 Exam Syllabus Topics:

Section	Objectives
Snowflake Architecture and Overview	- Snowflake architecture concepts (cloud data platform, separation of storage and compute) - Virtual warehouses and resource scaling concepts
Data Transformations and Querying	- SQL querying in Snowflake - Semi-structured data handling (VARIANT, JSON, Parquet)
Data Protection, Security, and Performance	- Query performance optimization basics - Role-based access control (RBAC) - Time Travel and Fail-safe concepts
Data Loading and Unloading	- Data unloading and external stages - Bulk loading using stages and COPY INTO

>> COF-C02的中合格問題集 <<

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Snowflake SnowPro Core Certification Exam 認定 COF-C02 試験問題 (Q1051-Q1056):

質問 # 1051
Which command can be used to load data files into a Snowflake stage?

A. GET
B. JOIN
C. PUT
D. COPY INTO

正解：C

解説：
The PUT command is used to load data files into a Snowflake stage. This command uploads data files from a local file system to a specified stage in Snowflake

質問 # 1052
How can a relational table be unloaded into a JSON file?

A. Use the PUT command with the file format set as JSON.
B. Use the COPY INTO < location > command with the file format set as JSON.
C. Use the GET command with the file format set as JSON.
D. Use the OBJECT_CONSTRUCT function with the COPY INTO < location > command.

正解：D

解説：
The correct answer is A. Use the OBJECT_CONSTRUCT function with the COPY INTO < location > command .
When unloading relational data to JSON, each relational row must be transformed into a single semi- structured object. OBJECT_CONSTRUCT creates a JSON-style object from the row's columns, and COPY INTO < location > unloads the result to a stage.
Why A is correct:
Snowflake requires unloaded JSON data to be represented as a single VARIANT, OBJECT, or ARRAY value per row. OBJECT_CONSTRUCT converts relational columns into an object suitable for JSON unload.
Example:
COPY INTO @my_stage/output/
FROM (
SELECT OBJECT_CONSTRUCT(*)
FROM customers
)
FILE_FORMAT = (TYPE = JSON);
Why the other options are incorrect:
B). Setting the file format to JSON alone is not sufficient for relational rows with multiple columns. The rows must be converted into a single semi-structured column.
C). PUT uploads local files to an internal stage. It does not unload table data.
D). GET downloads files from an internal stage to a local machine. It does not unload table data from Snowflake.
Official Snowflake documentation reference:
Snowflake documentation explains that to unload relational data to JSON, the query should return a single column containing semi-structured data, commonly produced with OBJECT_CONSTRUCT.
Reference: Snowflake Documentation - Unloading relational data to JSON; Snowflake Documentation - OBJECT_CONSTRUCT; Snowflake Documentation - COPY INTO < location > ; SnowPro Core Study Guide - Data Loading and Unloading.

質問 # 1053
During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?

A. STATEMENT_TIMEOUT__IN__SECONDS
B. QUERY_TIMEOUT_IN_SECONDS
C. STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
D. MAX_CONCURRENCY__LEVEL

正解：C

解説：
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit. By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:
text=The%20parameter%20STATEMENT_QUEUED_TIMEOUT_IN_SECONDS%20sets%20the, indefinitely%20in%20the%20waiting%20queue.

質問 # 1054
Which Snowflake architectural layer is responsible for a query execution plan?

A. Cloud provider
B. Data storage
C. Cloud services
D. Compute

正解：C

解説：
In Snowflake's architecture, the Cloud Services layer is responsible for generating the query execution plan. This layer handles all the coordination, optimization, and management tasks, including query parsing, optimization, and compilation into an execution plan that can be processed by the Compute layer.

質問 # 1055
Using which object-level parameters will help limit query processing and concurrency slowdowns? (Select TWO).

A. STATEMENT_TIMEOUT_IN_SECONDS
B. QUERY_ACCELERATION_MAX_SCALE_FACTOR
C. ENABLE_QUERY_ACCELERATION
D. STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
E. MULTI_STATEMENT_COUNT

正解：A、D

質問 # 1056
......

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