COF-C02 Free Certification Exam Material from Real4Prep with 630 Questions
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Snowflake COF-C02: SnowPro Core Certification Exam is a challenging and comprehensive exam designed to test your skills and knowledge of Snowflake's cloud data warehousing platform. SnowPro Core Certification Exam certification is recognized worldwide and is highly valued by employers who are seeking qualified professionals to help them manage their organization's data.
NEW QUESTION # 198
Data storage for individual tables can be monitored using which commands and/or objects? (Choose two.)
- A. SHOW TABLES;
- B. Information Schema -> TABLE_STORAGE_METRICS
- C. Information Schema -> TABLE_FUNCTION
- D. SHOW STORAGE BY TABLE;
- E. Information Schema -> TABLE_HISTORY
Answer: B,D
Explanation:
To monitor data storage for individual tables, the commands and objects that can be used are 'SHOW STORAGE BY TABLE;' and the Information Schema view 'TABLE_STORAGE_METRICS'. These tools provide detailed information about the storage utilization for tables. References: Snowflake Documentation
NEW QUESTION # 199
Which of the following compute resources or features are managed by Snowflake? (Select TWO).
- A. Scaling up a warehouse
- B. Updating data
- C. Execute a COPY command
- D. AUTOMATIC_CLUSTERING
- E. Snowpipe
Answer: C,D
NEW QUESTION # 200
Which of the following Snowflake features provide continuous data protection automatically? (Select TWO).
- A. Incremental backups
- B. Zero-copy clones
- C. Time Travel
- D. Internal stages
- E. Fail-safe
Answer: C,E
Explanation:
Snowflake's Continuous Data Protection (CDP) encompasses a set of features that help protect data stored in Snowflake against human error, malicious acts, and software failure. Time Travel allows users to access historical data (i.e., data that has been changed or deleted) for a defined period, enabling querying and restoring of data. Fail-safe is an additional layer of data protection that provides a recovery option in the event of significant data loss or corruption, which can only be performed by Snowflake.
References:
* Continuous Data Protection | Snowflake Documentation1
* Data Storage Considerations | Snowflake Documentation2
* Snowflake SnowPro Core Certification Study Guide3
* Snowflake Data Cloud Glossary
https://docs.snowflake.com/en/user-guide/data-availability.html
NEW QUESTION # 201
Which command can be used to load data files into a Snowflake stage?
- A. COPY INTO
- B. JOIN
- C. PUT
- D. GET
Answer: C
Explanation:
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
NEW QUESTION # 202
In the query profiler view for a query, which components represent areas that can be used to help optimize query performance? (Select TWO)
- A. Percentage scanned from cache
- B. Bytes sent over the network
- C. External bytes scanned
- D. Number of partitions scanned
- E. Bytes scanned
Answer: D,E
Explanation:
In the query profiler view, the components that represent areas that can be used to help optimize query performance include 'Bytes scanned' and 'Number of partitions scanned'. 'Bytes scanned' indicates the total amount of data the query had to read and is a direct indicator of the query's efficiency. Reducing the bytes scanned can lead to lower data transfer costs and faster query execution. 'Number of partitions scanned' reflects how well the data is clustered; fewer partitions scanned typically means better performance because the system can skip irrelevant data more effectively.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Query Profiling1
NEW QUESTION # 203
A sales table FCT_SALES has 100 million records.
The following Query was executed
SELECT COUNT (1) FROM FCT__SALES;
How did Snowflake fulfill this query?
- A. Query against the most-recently created micro-partition
- B. Query against a virtual warehouse cache
- C. Query against the result set cache
- D. Query against the metadata excite
Answer: D
Explanation:
Snowflake is designed to optimize query performance by utilizing metadata for certain types of queries. When executing a COUNT query, Snowflake can often fulfill the request by accessing metadata about the table's row count, rather than scanning the entire table or micro-partitions. This is particularly efficient for large tables like FCT_SALES with a significant number of records. The metadata layer maintains statistics about the table, including the row count, which enables Snowflake to quickly return the result of a COUNT query without the need to perform a full scan.
References:
* Snowflake Documentation on Metadata Management
* SnowPro Core Certification Study Guide
NEW QUESTION # 204
How can a user change which columns are referenced in a view?
- A. Modify the columns in the underlying table
- B. Materialize the view to perform the changes
- C. Use the ALTER VIEW command to update the view
- D. Recreate the view with the required changes
Answer: D
Explanation:
In Snowflake, to change the columns referenced in a view, the view must be recreated with the required changes. The ALTER VIEW command does not allow changing the definition of a view; it can only be used to rename a view, convert it to or from a secure view, or add, overwrite, or remove a comment for a view. Therefore, the correct approach is to drop the existing view and create a new one with the desired column references.
NEW QUESTION # 205
True or False: An active warehouse is required to run a COPY INTO statement.
- A. True
- B. False
Answer: A
NEW QUESTION # 206
What is the recommended file sizing for data loading using Snowpipe?
- A. A compressed file size greater than 100 MB, and up to 250 MB
- B. A compressed file size greater than 1 GB, and up to 2 GB
- C. A compressed file size greater than 100 GB, and up to 250 GB
- D. A compressed file size greater than 10 MB, and up to 100 MB
Answer: D
Explanation:
For data loading using Snowpipe, the recommended file size is a compressed file greater than 10 MB and up to
100 MB. This size range is optimal for Snowpipe's continuous, micro-batch loading process, allowing for efficient and timely data ingestion without overwhelming the system with files that are too large or too small.
References:
* [COF-C02] SnowPro Core Certification Exam Study Guide
* Snowflake Documentation on Snowpipe1
NEW QUESTION # 207
Which minimum Snowflake edition allows for a dedicated metadata store?
- A. Business Critical
- B. Virtual Private Snowflake
- C. Enterprise
- D. Standard
Answer: B
Explanation:
Reference: https://docs.snowflake.com/en/user-guide/intro-editions.html
NEW QUESTION # 208
A user has semi-structured data to load into Snowflake but is not sure what types of operations will need to be performed on the data. Based on this situation, what type of column does Snowflake recommend be used?
- A. ARRAY
- B. TEXT
- C. OBJECT
- D. VARIANT
Answer: D
Explanation:
When dealing with semi-structured data in Snowflake, and the specific types of operations to be performed on the data are not yet determined, Snowflake recommends using the VARIANT data type. The VARIANT type is highly flexible and capable of storing data in multiple formats, including JSON, AVRO, BSON, and more, within a single column. This flexibility allows users to perform various operations on the data, including querying and manipulation of nested data structures without predefined schemas.
References:
* Snowflake Documentation: Semi-structured Data Types
NEW QUESTION # 209
What are characteristics of reader accounts in Snowflake? (Select TWO).
- A. A single reader account can consume data from multiple provider accounts.
- B. Reader accounts enable data consumers to access and query data shared by the provider.
- C. Reader account users cannot add new data to the account.
- D. Data consumers are responsible for reader account setup and data usage costs.
- E. Reader account users can share data to other reader accounts.
Answer: B,C
NEW QUESTION # 210
Which Snowflake feature allows a user to track sensitive data for compliance, discovery, protection, and resource usage?
- A. Internal tokenization
- B. Tags
- C. Row access policies
- D. Comments
Answer: B
NEW QUESTION # 211
Files have been uploaded to a Snowflake internal stage. The files now need to be deleted.
Which SQL command should be used to delete the files?
- A. DELETE
- B. PURGE
- C. MODIFY
- D. REMOVE
Answer: A
Explanation:
Reference:
https://www.simplilearn.com/tutorials/sql-tutorial/delete-in-sql#:~:text=The%20Delete%20command%20in%20
NEW QUESTION # 212
What is the Fail-safe period for a transient table in the Snowflake Enterprise edition and higher?
- A. 0 days
- B. 1 day
- C. 7 days
- D. 14 days
Answer: A
Explanation:
The Fail-safe period for a transient table in Snowflake, regardless of the edition (including Enterprise edition and higher), is 0 days. Fail-safe is a data protection feature that provides additional retention beyond the Time Travel period for recovering data in case of accidental deletion or corruption. However, transient tables are designed for temporary or short-term use and do not benefit from the Fail-safe feature, meaning that once their Time Travel period expires, data cannot be recovered.
References:
* Snowflake Documentation: Understanding Fail-safe
NEW QUESTION # 213
In the query profiler view for a query, which components represent areas that can be used to help optimize query performance? (Select TWO)
- A. Percentage scanned from cache
- B. Bytes sent over the network
- C. External bytes scanned
- D. Number of partitions scanned
- E. Bytes scanned
Answer: D,E
NEW QUESTION # 214
A user has a standard multi-cluster warehouse auto-scaling policy in place.
Which condition will trigger a cluster to shut-down?
- A. When after 2-3 consecutive checks the system determines that the load on the least-loaded cluster could be redistributed.
- B. When after 5-6 consecutive checks the system determines that the load on the least-loaded cluster could be redistributed.
- C. When after 5-6 consecutive checks the system determines that the load on the most-loaded cluster could be redistributed.
- D. When after 2-3 consecutive checks the system determines that the load on the most-loaded cluster could be redistributed.
Answer: A
Explanation:
In a standard multi-cluster warehouse with auto-scaling, a cluster will shut down when, after 2-3 consecutive checks, the system determines that the load on the least-loaded cluster could be redistributed to other clusters.
This ensures efficient resource utilization and cost management. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 215
Two users share a virtual warehouse named wh dev 01. When one of the users loads data, the other one experiences performance issues while querying data.
How does Snowflake recommend resolving this issue?
- A. Scale up the existing warehouse.
- B. Create separate warehouses for each workload.
- C. Create separate warehouses for each user.
- D. Stop loading and querying data at the same time.
Answer: B
Explanation:
Snowflake recommends creating separate warehouses for each workload to resolve performance issues caused by shared virtual warehouses. This ensures that the resources are not being overutilized by one user's activities, thereby affecting the performance of another user's activities4.
NEW QUESTION # 216
A user wants to upload a file to an internal Snowflake stage using a put command.
Which tools and or connectors could be used to execute this command? (Select TWO).
- A. SnowCD
- B. SnowSQL
- C. Snowsight worksheets
- D. Python connector
- E. SQL API
Answer: B,C
Explanation:
To upload a file to an internal Snowflake stage using a PUT command, you can use:
* B. SnowSQL: SnowSQL, the command-line client for Snowflake, supports the PUT command, allowing users to upload files directly to Snowflake stages from their local file systems.
* E. Snowsight worksheets: Snowsight, the web interface for Snowflake, provides a user-friendly environment for executing SQL commands, including the PUT command, through its interactive worksheets.
References:
* Snowflake Documentation: Loading Data into Snowflake using SnowSQL
* Snowflake Documentation: Using Snowsight
NEW QUESTION # 217
The Snowflake Cloud Data Platform is described as having which of the following architectures?
- A. Shared-nothing
- B. Multi-cluster shared data
- C. Serverless query engine
- D. Shared-disk
Answer: B
Explanation:
Snowflake's architecture is described as a multi-cluster, shared data architecture. This design combines the simplicity of a shared-disk architecture with the performance and scale-out benefits of a shared-nothing architecture, using a central repository accessible from all compute nodes2.
References = [COF-C02] SnowPro Core Certification Exam Study Guide, Snowflake Documentation
NEW QUESTION # 218
True or False: A third-party tool that supports standard JDBC or ODBC but has no Snowflake-specific driver will be unable to connect to Snowflake.
- A. False
- B. True
Answer: A
NEW QUESTION # 219
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