[2026年02月]更新のCOF-C02問題集PDFでCOF-C02リアル試験問題解答
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Snowflake COF-C02（SnowPro Core認定試験）は、Snowflakeのコアコンセプトに関する知識とスキルをテストする包括的な認定試験です。この認定は、データを管理し分析するためにSnowflakeを使用するデータ専門家が、自分の専門知識を証明することを目的としています。この認定を取得することは、世界中の組織によって認められ、評価され、データ業界でのキャリアアップに役立ちます。興味を持った方は、Snowflake認定ポータルを通じて試験の登録とスケジュールを行うことができます。
質問 # 43
When should a user consider disabling auto-suspend for a virtual warehouse? (Select TWO).
- A. When the compute must be available with no delay or lag time
- B. When the warehouse is shared across different teams
- C. When users will be using compute at different times throughout a 24/7 period
- D. When managing a steady workload
- E. When the user does not want to have to manually turn on the warehouse each time it is needed
正解：A、D
質問 # 44
What target locations can be used when unloading data using the COPY INTO <location> command? (Select TWO)
- A. A local file system
- B. Cloud storage in Google (GCP), AWS, or Microsoft Azure
- C. A Snowflake schema
- D. A Snowflake stream
- E. A Snowflake stage
正解：B、E
解説：
The COPY INTO <location> command is used to unload data from Snowflake tables to external locations, typically cloud storage or a Snowflake stage. Supported destinations include:
* External stages: e.g., S3, Azure Blob Storage, Google Cloud Storage
* Internal named stages: Snowflake-managed storage
Local file systems are not supported as unload targets.
Reference:
Snowflake Docs: COPY INTO <location> (unloading)
"You can unload data to: Internal Named Stages and External Stages (S3, Azure, GCS)"
質問 # 45
How does Snowflake allow a data provider with an Azure account in central Canada to share data with a data consumer on AWS in Australia?
- A. The data provider uses the GET DATA workflow in the Snowflake Data Marketplace to create a share between Azure Central Canada and AWS Asia Pacific.
- B. The data provider must replicate the database to a secondary account in AWS Asia Pacific within the same organization then create a share to the data consumer's account.
- C. The data provider in Azure Central Canada can create a direct share to AWS Asia Pacific, if they are both in the same organization.
- D. The data consumer and data provider can form a Data Exchange within the same organization to create a share from Azure Central Canada to AWS Asia Pacific.
正解：A
質問 # 46
What can be used to view warehouse usage over time? (Select Two).
- A. The load HISTORY view
- B. The WAREHOUSE_METERING__HISTORY View
- C. The Query history view
- D. The show warehouses command
- E. The billing and usage tab in the Snowflake web Ul
正解：B、E
質問 # 47
Which of the following is a data tokenization integration partner?
- A. Protegrity
- B. DBeaver
- C. SAP
- D. Tableau
正解：A
質問 # 48
What is one of the characteristics of data shares?
- A. Data shares support full DML operations.
- B. Data shares are cloud agnostic and can cross regions by default.
- C. Data shares utilize secure views for sharing view objects.
- D. Data shares work by copying data to consumer accounts.
正解：C
解説：
Data sharing in Snowflake allows for live, read-only access to data across different Snowflake accounts without the need to copy or transfer the data. One of the characteristics of data shares is the ability to use secure views. Secure views are used within data shares to restrict the access of shared data, ensuring that consumers can only see the data that the provider intends to share, thereby preserving privacy and security.
Reference:
Snowflake Documentation: Understanding Secure Views in Data Sharing
質問 # 49
What step does Snowflake recommend when loading data from a stage?
- A. Use PURGE when using the COPY INTO <table> command.
- B. Use the copy history function to update the status of loaded files.
- C. Use remove when using The copy into <table> command.
- D. Use the load HISTORY function to view the status of loaded files.
正解：A
解説：
* Snowflake recommends using the PURGE option in the COPY INTO <table> command to automatically remove files from the stage after they are successfully loaded.
* This helps maintain an efficient stage by removing files that are no longer needed.
* Example:
COPY INTO my_table
FROM @my_stage
FILE_FORMAT = (TYPE = CSV)
PURGE = TRUE;
References:
* Snowflake Documentation: COPY INTO Command
* Snowflake Staging Best Practices
質問 # 50
What SnowFlake database object is derived from a query specification, stored for later use, and can speed up expensive aggregation on large data sets?
- A. Temporary table
- B. Secure view
- C. External table
- D. Materialized view
正解：D
解説：
A materialized view in Snowflake is a database object derived from a query specification, stored for later use, and can significantly speed up expensive aggregations on large data sets. Materialized views store the result of their underlying query, reducing the need to recompute the result each time the view is accessed. This makes them ideal for improving the performance of read-heavy, aggregate-intensive queries.
Reference:
Snowflake Documentation: Using Materialized Views
質問 # 51
What are supported file formats for unloading data from Snowflake? (Choose three.)
- A. XML
- B. JSON
- C. CSV
- D. AVRO
- E. ORC
- F. Parquet
正解：B、C、F
質問 # 52
A user has 10 files in a stage containing new customer dat
a. The ingest operation completes with no errors, using the following command:
COPY INTO my__table FROM @my__stage;
The next day the user adds 10 files to the stage so that now the stage contains a mixture of new customer data and updates to the previous data. The user did not remove the 10 original files.
If the user runs the same copy into command what will happen?
- A. All data from all of the files on the stage will be appended to the table
- B. Only data about new customers from the new files will be appended to the table
- C. All data from only the newly-added files will be appended to the table.
- D. The operation will fail with the error uncertain files in stage.
正解：A
解説：
When the COPY INTO command is executed in Snowflake, it processes all files present in the specified stage that have not been ingested before or marked as already loaded. Since the user did not remove the original 10 files after the first load, running the same COPY INTO command again will result in all 20 files being processed. This means that the data from the original 10 files will be appended to the table again, along with the data from the new 10 files, potentially leading to duplicate records for the original data set.
Reference:
Snowflake Documentation on Data Loading
SnowPro Core Certification Study Guide
質問 # 53
What is the difference between a stored procedure and a User-Defined Function (UDF)?
- A. Values returned by a stored procedure can be used directly in a SQL statement while the values returned by a UDF cannot.
- B. Returning a value is required in a stored procedure while returning values in a UDF is optional.
- C. Multiple stored procedures can be called as part of a single executable statement while a single SQL statement can only call one UDF at a time.
- D. Stored procedures can execute database operations while UDFs cannot.
正解：D
質問 # 54
What object does Snowflake recommend using when planning to unload similarly-formatted data on a regular basis?
- A. Storage integration
- B. Task
- C. Named file format
- D. Stream
正解：C
質問 # 55
In the Snowflake access control model, which entity owns an object by default?
- A. Ownership depends on the type of object
- B. The user who created the object
- C. The role used to create the object
- D. The SYSADMIN role
正解：C
質問 # 56
Which command is used to lake away staged files from a Snowflake stage after a successful data ingestion?
- A. DROP
- B. DELETE
- C. TRUNCATE
- D. REMOVE
正解：D
解説：
The REMOVE command is used in Snowflake to delete files from a stage after they have been successfully ingested into Snowflake tables. This command helps manage storage by allowing users to clean up staged files that are no longer needed, ensuring that the stage does not accumulate unnecessary data over time. Unlike DELETE, DROP, or TRUNCATE commands, which are used for managing data within Snowflake tables or dropping objects, REMOVE specifically targets the management of files in stages.
Reference: Snowflake Documentation on Stages and File Management
質問 # 57
What is the MINIMUM Snowflake edition required to add masking policies to selectively mask plain-text data in a table or in view columns at query time?
- A. Business Critical
- B. Enterprise
- C. Standard
- D. Virtual Private Snowflake (VPS)
正解：A
解説：
* Masking policies in Snowflake require a minimum of the Business Critical Edition.
* This feature enables dynamic masking of plain-text data at query time to meet compliance and security requirements.
* Example:
sql
CopyEdit
CREATE MASKING POLICY ssn_mask AS (val STRING)
RETURNS STRING ->
CASE
WHEN CURRENT_ROLE() IN ('DATA_ANALYST') THEN '***-**-****'
ELSE val
END;
References:
* Snowflake Documentation: Dynamic Data Masking
* Snowflake Editions Comparison
質問 # 58
Which Snowflake technique can be used to improve the performance of a query?
- A. Using INDEX__HINTS
- B. Clustering
- C. Fragmenting
- D. Indexing
正解：B
解説：
Clustering is a technique used in Snowflake to improve the performance of queries. It involves organizing the data in a table into micro-partitions based on the values of one or more columns. This organization allows Snowflake to efficiently prune non-relevant micro-partitions during a query, which reduces the amount of data scanned and improves query performance.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Clustering
質問 # 59
What internal stages are available in Snowflake? (Choose three.)
- A. Schema stage
- B. User stage
- C. Database stage
- D. Table stage
- E. Stream stage
- F. Named stage
正解：B、D、F
解説：
Snowflake supports three types of internal stages: Named, User, and Table stages. These stages are used for staging data files to be loaded into Snowflake tables. Schema, Stream, and Database stages are not supported as internal stages in Snowflake. Reference: Snowflake Documentation1.
質問 # 60
A query containing a WHERE clause is running longer than expected. The Query Profile shows that all micro- partitions being scanned How should this query be optimized?
- A. Add a limit clause to the query.
- B. Create a view on the table.
- C. Add a Dynamic Data Masking policy to the table.
- D. Add a clustering key to the table
正解：D
解説：
When a query containing a WHERE clause is running longer than expected, and the Query Profile shows that all micro-partitions are being scanned, the query can be optimized by adding a clustering key to the table.
* Understanding Micro-Partitioning in Snowflake:
* Snowflake automatically partitions tables into micro-partitions for efficient storage and query performance.
* Each micro-partition contains metadata about the range of values it holds, which helps in pruning irrelevant partitions during query execution.
* Role of Clustering Keys:
* A clustering key defines how data in a table is organized within micro-partitions.
* By specifying a clustering key, you can control the physical layout of data, ensuring that related rows are stored together.
* This organization improves query performance by reducing the number of micro-partitions that need to be scanned.
* Optimizing Queries with Clustering Keys:
* Adding a clustering key based on columns frequently used in WHERE clauses helps Snowflake quickly locate and scan relevant micro-partitions.
* This minimizes the amount of data scanned and reduces query execution time.
* Example:
ALTER TABLE my_table CLUSTER BY (column1, column2);
* This command adds a clustering key tomy_tableusingcolumn1andcolumn2.
* Future queries that filter on these columns will benefit from improved performance.
* Benefits:
* Reduced query execution time: Fewer micro-partitions need to be scanned.
* Improved resource utilization: More efficient data retrieval leads to lower compute costs.
:
Snowflake Documentation: Clustering Keys
Snowflake Documentation: Query Profile
質問 # 61
What is a Snowflake recommendation for the use of key pair authentication?
- A. Keys should be stored in a secure location on the ACCOUNTADMIN file system.
- B. Role access should be designed to cover the operations that the user account anticipates needing.
- C. Key pair rotation should be automated.
- D. Operator access should be limited to read-only access.
正解：C
解説：
Snowflake recommends automating key pair rotation to improve security and comply with industry best practices. SSH key pairs are used for key-pair authentication with clients like SnowSQL or Snowpipe.
Reference:
Snowflake Docs: Key Pair Authentication & Management
質問 # 62
A virtual warehouse query queuing time has been increasing due to a large number of users accessing the warehouse at the same time each day. Which warehouse configurations would address this issue MOST cost- effectively? (Select TWO).
- A. Run the warehouse in Maximized mode.
- B. Run the warehouse using an Economy policy.
- C. Scale-up the warehouse.
- D. Scale-out the warehouse.
- E. Run the warehouse in Auto-scale mode.
正解：D、E
質問 # 63
What are the default Time Travel and Fail-safe retention periods for transient tables?
- A. Transient tables are retained in neither Fail-safe nor Time Travel
- B. Time Travel - 1 day. Fail-safe - 1 day
- C. Time Travel - 1 day. Fail-safe - 0 days
- D. Time Travel - 0 days. Fail-safe - 1 day
正解：C
解説：
Explanation
https://docs.snowflake.com/en/user-guide/data-cdp-storage-costs.html#:~:text=Temporary%20and%20Transient
質問 # 64
Which of the following objects can be shared through secure data sharing?
- A. External table
- B. Task
- C. Stored procedure
- D. Masking policy
正解：A
解説：
Secure Data Sharing enables sharing selected objects in a database in your account with other Snowflake accounts. The following Snowflake database objects can be shared:
Tables
External tables
Secure views
Secure materialized views
Secure UDFs
Snowflake enables the sharing of databases through shares, which are created by data providers and "imported" by data consumers.
https://docs.snowflake.com/en/user-guide/data-sharing-intro.html#:~:text=Secure%20Data%20Sharing%20enables%20sharing,External%20tables
質問 # 65
While preparing to unload data in Snowflake, the file format option can be specified in which commands? (Select TWO).
- A. CREATE PIPE
- B. COPY INTO <location>
- C. GET
- D. PUT
- E. CREATE STAGE
正解：B、E
解説：
The file format option in Snowflake can be specified in the following commands:
CREATE STAGE: This command allows users to define the file format when creating a stage, which applies to any data loaded or unloaded via that stage.
COPY INTO <location>: This command enables data export from a table to an external location, where the file format can be specified to ensure the data is structured as needed for downstream systems.
Other commands, such as PUT or GET, do not support the specification of file formats directly within the command syntax.
質問 # 66
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問題集でリアルSnowflake COF-C02試験問題 [更新されたのは2026年]：https://www.passtest.jp/Snowflake/COF-C02-shiken.html
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