無料Snowflake COF-C02試験問題と解答トレーニングを提供しています
トップクラスSnowflake COF-C02オンライン問題集
Snowflake COF-C02（Snowpro Core Certification）認定試験は、ベンダーの中立認定試験であるため、特定の製品や技術に結び付けられていません。これにより、スノーフレークと協力している専門家や、他のクラウドデータプラットフォームと協力している専門家にとって貴重な認定となります。認定は、候補者がクラウドデータウェアハウジングとデータ管理の原則を深く理解しており、この知識を実際のシナリオに適用できることを示しています。
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質問 # 203
What are two ways to create and manage Data Shares in Snowflake? (Choose two.)
- A. Via the data_share=true parameter
- B. Via Virtual Warehouses
- C. Via SQL commands
- D. Via the Snowflake Web Interface (Ul)
正解：C、D
解説：
In Snowflake, Data Shares can be created and managed in two primary ways:
* Via the Snowflake Web Interface (UI): Users can create and manage shares through the graphical interface provided by Snowflake, which allows for a user-friendly experience.
* Via SQL commands: Snowflake also allows the creation and management of shares using SQL commands. This method is more suited for users who prefer scripting or need to automate the process.
Reference: https://docs.snowflake.com/en/user-guide/data-sharing-provider.html
質問 # 204
A view is defined on a permanent table. A temporary table with the same name is created in the same schema as the referenced table. What will the query from the view return?
- A. An error stating that the view could not be compiled.
- B. The data from the temporary table.
- C. An error stating that the referenced object could not be uniquely identified.
- D. The data from the permanent table.
正解：B
質問 # 205
Which privilege is required for a role to be able to resume a suspended warehouse if auto-resume is not enabled?
- A. MONITOR
- B. OPERATE
- C. USAGE
- D. MODIFY
正解：B
解説：
Reference:
https://community.snowflake.com/s/question/0D50Z00008yHYdqSAG/auto-resume-operate-warehouse-privileg
質問 # 206
Network policies can be set at which Snowflake levels? (Choose two.)
- A. Schema
- B. Account
- C. User
- D. Database
- E. Tables
- F. Role
正解：B、C
解説：
Network policies in Snowflake can be set at the user level and at the account level2.
Reference: https://docs.snowflake.com/en/user-guide/network-policies.html#creating-network-policies
質問 # 207
Which Snowflake technique can be used to improve the performance of a query?
- A. Clustering
- B. Indexing
- C. Fragmenting
- D. Using INDEX__HINTS
正解：A
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 # 208
How can performance be optimized for a query that returns a small amount of data from a very large base table?
- A. Create materialized views
- B. Use the search optimization service
- C. Use the query acceleration service
- D. Use clustering keys
正解：B
解説：
The search optimization service in Snowflake is designed to improve the performance of selective point lookup queries on large tables, which is ideal for scenarios where a query returns a small amount of data from a very large base table1. References: [COF-C02] SnowPro Core Certification Exam Study Guide
質問 # 209
Which feature is only available in the Enterprise or higher editions of Snowflake?
- A. SOC 2 type II certification
- B. Object-level access control
- C. Column-level security
- D. Multi-factor Authentication (MFA)
正解：C
質問 # 210
What is the purpose of multi-cluster virtual warehouses?
- A. To allow users the ability to choose the type of compute nodes that make up a virtual warehouse cluster
- B. To allow the warehouse to resize automatically
- C. To create separate data warehouses to increase query optimization
- D. To eliminate or reduce Queuing of concurrent queries
正解：D
質問 # 211
Which Snowflake feature will allow small volumes of data to continuously load into Snowflake and will incrementally make the data available for analysis?
- A. INSERT INTO
- B. CREATE PIPE
- C. TABLE STREAM
- D. COPY INTO
正解：B
質問 # 212
Which stages are used with the Snowflake PUT command to upload files from a local file system? (Choose three.)
- A. Table Stage
- B. User Stage
- C. External Named Stage
- D. Schema Stage
- E. Database Stage
- F. Internal Named Stage
正解：C、D、F
質問 # 213
A company needs to allow some users to see Personally Identifiable Information (PII) while limiting other users from seeing the full value of the PII.
Which Snowflake feature will support this?
- A. Row access policies
- B. Data encryption
- C. Role based access control
- D. Data masking policies
正解：D
質問 # 214
Which Snowflake table supports unstructured data?
- A. Permanent
- B. Directory
- C. Transient
- D. Temporary
正解：A
解説：
While Snowflake primarily deals with structured and semi-structured data, it also has the capability to handle unstructured data. Unstructured data can be stored in Snowflake using variants of SQL data types in tables, which can be permanent tables. These permanent tables, while traditionally used for structured or semi-structured data (like JSON, Avro, or Parquet), can also accommodate unstructured data in the form of binary formats or strings, offering flexibility in data storage and analysis. However, the management and querying of unstructured data in Snowflake may require additional considerations compared to structured data.References: Snowflake Documentation on Data Types
質問 # 215
In Snowflake's data security framework, how does column-level security contribute to the protection of sensitive information? (Select TWO).
- A. Implementation of column-level security will optimize query performance.
- B. Column-level security limits access to specific columns within a table based on user privileges
- C. Column-level security ensures that only the table owner can access the data.
- D. Column-level security supports encryption of the entire database.
- E. Column-level security allows the application of a masking policy to a column within a table or view.
正解：B、E
解説：
Column-level security in Snowflake enhances data protection by restricting access and applying masking policies to sensitive data at the column level.
* Limiting Access Based on User Privileges:
* Column-level security allows administrators to define which users or roles have access to specific columns within a table.
* This ensures that sensitive data is only accessible to authorized personnel, thereby reducing the risk of data breaches.
* Application of Masking Policies:
* Masking policies can be applied to columns to obfuscate sensitive data.
* For example, credit card numbers can be masked to show only the last four digits, protecting the
* full number from being exposed.
References:
* Snowflake Documentation: Column-Level Security
* Snowflake Documentation: Dynamic Data Masking
質問 # 216
Which commands are restricted in owner's rights stored procedures? (Select TWO).
- A. SHOW
- B. INSERT
- C. MERGE
- D. DESCRIBE
- E. DELETE
正解：A、D
解説：
In owner's rights stored procedures, certain commands are restricted to maintain security and integrity. The SHOW and DESCRIBE commands are limited because they can reveal metadata and structure information that may not be intended for all roles.
質問 # 217
Which stage type can be altered and dropped?
- A. User stage
- B. Table stage
- C. External stage
- D. Database stage
正解：B
質問 # 218
Why would a Snowflake user load JSON data into a VARIANT column instead of a string column?
- A. A VARIANT column compresses data and a string column does not.
- B. A variant column can be used to create a data hierarchy and a string column cannot
- C. A VARIANT column will have a better query performance than a string column.
- D. A VARIANT column is more secure than a string column
正解：B
解説：
A VARIANT column in Snowflake is specifically designed to store semi-structured data, such as JSON, and allows for the creation of a data hierarchy. Unlike string columns, VARIANT columns can natively handle JSON data structures, enabling complex querying and manipulation of hierarchical data using functions designed for semi-structured data.
References:
* Snowflake Documentation: VARIANT Data
質問 # 219
What does a Notify & Suspend action for a resource monitor do?
- A. Send an alert notification to all account users who have notifications enabled.
- B. Send a notification to all account administrators who have notifications enabled, and suspend all assigned warehouses immediately, canceling any statements being executed by the warehouses.
- C. Send a notification to all account administrators who have notifications enabled, and suspend all assigned warehouses after all statements being executed by the warehouses have completed.
- D. Send an alert notification to all virtual warehouse users when thresholds over 100% have been met.
正解：C
解説：
The Notify & Suspend action for a resource monitor in Snowflake sends a notification to all account administrators who have notifications enabled and suspends all assigned warehouses. However, the suspension only occurs after all currently running statements in the warehouses have been completed1. References:
[COF-C02] SnowPro Core Certification Exam Study Guide
質問 # 220
True or False: During data unloading, only JSON and CSV files can be compressed.
- A. False
- B. True
正解：A
質問 # 221
Which services does the Snowflake Cloud Services layer manage? (Select TWO).
- A. Query execution
- B. Compute resources
- C. Metadata
- D. Data storage
- E. Authentication
正解：C、E
解説：
The Snowflake Cloud Services layer manages a variety of services that are crucial for the operation of the Snowflake platform. Among these services, Authentication and Metadata management are key components.
Authentication is essential for controlling access to the Snowflake environment, ensuring that only authorized users can perform actions within the platform. Metadata management involves handling all the metadata related to objects within Snowflake, such as tables, views, and databases, which is vital for the organization and retrieval of data.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation12
https://docs.snowflake.com/en/user-guide/intro-key-concepts.html
質問 # 222
What command is used to export or unload data from Snowflake?
- A. GET @mystage
- B. COPY INTO @mystage
- C. PUT @mystage
- D. INSERT @mystage
正解：C
解説：
The command used to export or unload data from Snowflake to a stage (such as a file in an S3 bucket, Azure Blob Storage, or Google Cloud Storage) is the PUT command. The PUT command is designed to upload data files from a local file system (in the case of SnowSQL or other client) or a virtual warehouse to a specified stage. This functionality is critical for scenarios where data needs to be extracted from Snowflake for use in external systems, backups, or further processing.
The syntax for the PUT command follows the structure: PUT file://<local_file_path> @<stage_name>, where <local_file_path> specifies the path to the file(s) on the local file system that you wish to upload, and < stage_name> specifies the destination stage in Snowflake.
It's important to distinguish that the PUT command is used for exporting data out of Snowflake, whereas the COPY INTO <table> command is used for importing data into Snowflake from a stage. The GET command, on the other hand, is used to download files from a stage to the local file system, essentially the inverse operation of the PUT command.
References:
* Snowflake Documentation on Loading and Unloading Data: [Loading and Unloading Data](https://docs.snowflake.com/en/user-guide/data-load
質問 # 223
In an auto-scaling multi-cluster virtual warehouse with the setting SCALING_POLICY = ECONOMY enabled, when is another cluster started?
- A. When the system has enough load for 10 minutes
- B. When the system has enough load for 2 minutes
- C. When the system has enough load for 6 minutes
- D. When the system has enough load for 8 minutes
正解：A
質問 # 224
What impacts the credit consumption of maintaining a materialized view? (Choose two.)
- A. Whether the materialized view has a cluster key defined
- B. Whether or not it is also a secure view
- C. How often the underlying base table is queried
- D. How often the base table changes
- E. How often the materialized view is queried
正解：A、E
質問 # 225
Which virtual warehouse consideration can help lower compute resource credit consumption?
- A. Automating the virtual warehouse suspension and resumption settings
- B. Increasing the maximum cluster count parameter for a multi-cluster virtual warehouse
- C. Resizing the virtual warehouse to a larger size
- D. Setting up a multi-cluster virtual warehouse
正解：A
解説：
One key strategy to lower compute resource credit consumption in Snowflake is by automating the suspension and resumption of virtual warehouses. Virtual warehouses consume credits when they are running, and managing their operational times effectively can lead to significant cost savings.
A; Setting up a multi-cluster virtual warehouse increases parallelism and throughput but does not directly lower credit consumption. It is more about performance scaling than cost efficiency.
B: Resizing the virtual warehouse to a larger size increases the compute resources available for processing queries, which increases the credit consumption rate. This option does not help in lowering costs.
C: Automating the virtual warehouse suspension and resumption settings: This is a direct method to manage credit consumption efficiently. By automatically suspending a warehouse when it is not in use and resuming it when needed, you can avoid consuming credits during periods of inactivity. Snowflake allows warehouses to be configured to automatically suspend after a specified period of inactivity and to automatically resume when a query is submitted that requires the warehouse.
D: Increasing the maximum cluster count parameter for a multi-cluster virtual warehouse would potentially increase credit consumption by allowing more clusters to run simultaneously. It is used to scale up resources for performance, not to reduce costs.
Automating the operational times of virtual warehouses ensures that you only consume compute credits when the warehouse is actively being used for queries, thereby optimizing your Snowflake credit usage.
Reference: Snowflake Documentation on Managing Warehouse Credit Usage
(https://docs.snowflake.com/en/user-guide/warehouses-considerations.html#managing-warehouse-credit-usage)
質問 # 226
How can a Snowflake user traverse semi-structured data?
- A. Insert a double colon (::) Between the VABTART column name and any first-level element.
- B. Insert a double colon (::) between the VARIANT column name and any second-level element.
- C. Insert a colon (:) between the variant column name and any first-level element.
- D. Insert a colon (:) between the VARIANT column name and any second-level element.
正解：C
質問 # 227
What does Snowflake recommend regarding database object ownership? (Select TWO).
- A. Create objects with SECURITYADMIN to ease granting of privileges later.
- B. Create objects with ACCOUNTADMIN and do not reassign ownership.
- C. Use only MANAGED ACCESS SCHEMAS for66 objects owned by ACCOUNTADMIN.
- D. Create objects with SYSADMIN.
- E. Create objects with a custom role and grant this role to SYSADMIN.
正解：D、E
解説：
Snowflake recommends creating objects with a role that has the necessary privileges and is not overly permissive. SYSADMIN is typically used for managing system-level objects and operations. Creating objects with a custom role and granting this role to SYSADMIN allows for more granular control and adherence to the principle of least privilege. References: Based on best practices for database object ownership and role management.
質問 # 228
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