COF-C02 PDF Dumps Aug 03, 2026 Exam Questions – Valid COF-C02 Dumps
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NEW QUESTION # 192
What information does the Query Profile provide?
- A. Statistics for each component of the processing plan
- B. Graphical representation of the data model
- C. Real-time monitoring of the database operations
- D. Detailed Information about I he database schema
Answer: A
NEW QUESTION # 193
Which Snowflake feature allows administrators to identify unused data that may be archived or deleted?
- A. Dynamic Data Masking
- B. Object tagging
- C. Access history
- D. Data classification
Answer: C
Explanation:
The Access History feature in Snowflake allows administrators to track data access patterns and identify unused data. This information can be used to make decisions about archiving or deleting data to optimize storage and reduce costs.
NEW QUESTION # 194
Which of the following compute resources or features are managed by Snowflake? (Select TWO).
- A. Updating data
- B. AUTOMATIC__CLUSTERING
- C. Snowpipe
- D. Execute a COPY command
- E. Scaling up a warehouse
Answer: C,E
Explanation:
Snowflake manages various compute resources and features, including Snowpipe and the ability to scale up a warehouse. Snowpipe is Snowflake's continuous data ingestion service that allows users to load data as soon as it becomes available. Scaling up a warehouse refers to increasing the compute resources allocated to a virtual warehouse to handle larger workloads or improve performance.
Reference:
[COF-C02] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Snowpipe and Virtual Warehouses1
NEW QUESTION # 195
A Snowflake user has been granted the create data EXCHANGE listing privilege with their role.
Which tasks can this user now perform on the Data Exchange? (Select TWO).
- A. Rename listings.
- B. Modify incoming listing access requests.
- C. Modify listings properties.
- D. Delete provider profiles.
- E. Submit listings for approval/publishing.
Answer: C,E
Explanation:
With the create data EXCHANGE listing privilege, a Snowflake user can modify the properties of listings and submit them for approval or publishing on the Data Exchange. This allows them to manage and share data sets with consumers effectively. Reference: Based on general data exchange practices in cloud services as of 2021.
NEW QUESTION # 196
Which view or command provides the most detailed storage information for a table?
- A. ACCOUNT_USAGE.STORAGE_USAGE
- B. SHOW TABLES
- C. DESC TABLE
- D. ACCOUNT_USAGE.TABLE_STORAGE_METRICS
Answer: D
Explanation:
The correct answer is D. ACCOUNT_USAGE.TABLE_STORAGE_METRICS .
ACCOUNT_USAGE.TABLE_STORAGE_METRICS provides detailed storage metrics for tables, including active bytes, Time Travel bytes, Fail-safe bytes, and retained-for-clone bytes. This view is more detailed for table-level storage than SHOW TABLES or DESC TABLE.
Why D is correct:
TABLE_STORAGE_METRICS is designed specifically to report table-level storage usage.
Why the other options are incorrect:
A). SHOW TABLES provides table metadata, but not the most detailed storage breakdown.
B). DESC TABLE describes the table structure, such as columns and data types, not detailed storage consumption.
C). ACCOUNT_USAGE.STORAGE_USAGE provides account-level storage usage, not the most detailed table-level storage metrics.
Official Snowflake documentation reference:
Snowflake documentation describes ACCOUNT_USAGE.TABLE_STORAGE_METRICS as a view that provides storage information for tables, including active, Time Travel, Fail-safe, and retained-for-clone storage.
Reference: Snowflake Documentation - ACCOUNT_USAGE.TABLE_STORAGE_METRICS; Snowflake Documentation - Storage usage; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 197
By definition, a secure view is exposed only to users with what privilege?
- A. OWNERSHIP
- B. USAGE
- C. REFERENCES
- D. IMPORT SHARE
Answer: B
NEW QUESTION # 198
Which Snowflake table supports unstructured data?
- A. Temporary
- B. Permanent
- C. Directory
- D. Transient
Answer: B
Explanation:
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.
Reference: Snowflake Documentation on Data Types
NEW QUESTION # 199
Which data types are supported by Snowflake when using semi-structured data? (Choose two.)
- A. STRUCT
- B. VARRAY
- C. QUEUE
- D. VARIANT
- E. ARRAY
Answer: D,E
Explanation:
Snowflake supports the VARIANT and ARRAY data types for semi-structured data. VARIANT can store values of any other type, including OBJECT and ARRAY, making it suitable for semi-structured data formats like JSON. ARRAY is used to store an ordered list of elements
NEW QUESTION # 200
What is true about sharing data in Snowflake? (Choose two.)
- A. The Data Consumer pays only for compute resources to query the shared data.
- B. The Data Consumer pays for data storage as well as for data computing.
- C. The shared data is copied into the Data Consumer account, so the Consumer can modify it without impacting the base data of the Provider.
- D. The Provider is charged for compute resources used by the Data Consumer to query the shared data.
- E. A Snowflake account can both provide and consume shared data.
Answer: A,E
Explanation:
In Snowflake's data sharing model, any full Snowflake account can both provide and consume shared data. Additionally, the data consumer pays only for the compute resources used to query the shared data. No actual data is copied or transferred between accounts, and shared data does not take up any storage in a consumer account, so the consumer does not pay for data storage1.
Reference = Introduction to Secure Data Sharing | Snowflake Documentation
NEW QUESTION # 201
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. Create separate warehouses for each user.
- B. Create separate warehouses for each workload.
- C. Stop loading and querying data at the same time.
- D. Scale up the existing warehouse.
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 # 202
By default, which tasks can a user with the ORGADMIN role perform? Select TWO.
- A. Enable replication.
- B. Create a reader account.
- C. Create a share.
- D. Create a resource monitor.
- E. Create an account.
Answer: A,E
Explanation:
The correct answers are B. Enable replication and C. Create an account .
The ORGADMIN role is an organization-level role in Snowflake. It is used to manage organization-wide operations, including account management and enabling cross-account or cross-region capabilities such as replication.
Why B is correct:
ORGADMIN can enable replication for the organization. Replication is an organization-level capability because it can involve multiple accounts and regions.
Why C is correct:
ORGADMIN can create Snowflake accounts within the organization.
Why the other options are incorrect:
A). Creating a share is an account-level data sharing task, not a default organization-level ORGADMIN task.
D). Creating a resource monitor is an account-level resource management task, typically handled by account- level administrative roles such as ACCOUNTADMIN.
E). Creating a reader account is an account-level secure data sharing task, not the primary default ORGADMIN responsibility in this answer set.
Official Snowflake documentation reference:
Snowflake documentation describes ORGADMIN as the organization administrator role used to manage organization-level operations, including creating accounts and enabling replication.
Reference: Snowflake Documentation - Organization administrator role; Snowflake Documentation - Creating accounts; Snowflake Documentation - Replication and failover; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 203
What does a table with a clustering depth of 1 mean in Snowflake?
- A. The table has only 1 micro-partition.
- B. The table has no micro-partitions.
- C. The table has no overlapping micro-partitions.
- D. The table has 1 overlapping micro-partition.
Answer: C
Explanation:
In Snowflake, a table's clustering depth indicates the degree of micro-partition overlap based on the clustering keys defined for the table. A clustering depth of 1 implies that the table has no overlapping micro-partitions. This is an optimal scenario, indicating that the table's data is well-clustered according to the specified clustering keys. Well-clustered data can lead to more efficient query performance, as it reduces the amount of data scanned during query execution and improves the effectiveness of data pruning.
Reference:
Snowflake Documentation on Clustering: Understanding Clustering Depth
NEW QUESTION # 204
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 GET command with the file format set as JSON.
- C. Use the COPY INTO < location > command with the file format set as JSON.
- D. Use the OBJECT_CONSTRUCT function with the COPY INTO < location > command.
Answer: D
Explanation:
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.
NEW QUESTION # 205
The customer table in the Tl database is accidentally dropped.
Which privileges are required to restore this table? (Select TWO).
- A. create table privilege on the Tl database
- B. ownership privilege on the customer table
- C. All privileges on the TI database
- D. All privileges on the customer table
- E. select privilege on the customer table
Answer: B,C
Explanation:
* To restore a dropped table in Snowflake, you need specific privileges:
* Ownership (B): The owner of the table can perform all operations, including restoring dropped tables.
* All privileges on the database (D): Having full database privileges includes access to restore dropped objects within that database.
Why Other Options Are Incorrect:
* A. Select privilege: Only allows querying data, not restoration.
* C. All privileges on the table: The table no longer exists, so this does not apply.
* E. Create table privilege: This allows creating new tables, not restoring dropped ones.
References:
* Undrop Table
* Snowflake Privileges Documentation
NEW QUESTION # 206
What is a characteristic of materialized views in Snowflake?
- A. Materialized views do not allow joins.
- B. Clones of materialized views can be created directly by the user.
- C. Aggregate functions can be used as window functions in materialized views.
- D. Multiple tables can be joined in the underlying query of a materialized view.
Answer: D
Explanation:
One of the characteristics of materialized views in Snowflake is that they allow multiple tables to be joined in the underlying query. This enables the pre-computation of complex queries involving joins, which can significantly improve the performance of subsequent queries that access the materialized view4. References:
[COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 207
When scaling up Virtual Warehouse by increasing Virtual Warehouse t-shirt size, you are primarily scaling for improved:
- A. Performance
- B. Concurrency
Answer: A
NEW QUESTION # 208
What does Snowflake recommend a user do if they need to connect to Snowflake with a tool or technology mat is not listed in Snowflake partner ecosystem?
- A. Contact Snowflake Support for a new driver.
- B. Use a custom-built connector.
- C. Connect through Snowflake's JDBC or ODBC drivers
- D. Use Snowflake's native API.
Answer: C
Explanation:
If a user needs to connect to Snowflake with a tool or technology that is not listed in Snowflake's partner ecosystem, Snowflake recommends using its JDBC or ODBC drivers. These drivers provide a standard method of connecting from various tools and programming languages to Snowflake, offering wide compatibility and flexibility. By using these drivers, users can establish connections to Snowflake from their applications, ensuring they can leverage the capabilities of Snowflake regardless of the specific tools or technologies they are using.
Reference: Snowflake Documentation on Client Drivers
NEW QUESTION # 209
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Snowflake COF-C02 (SnowPro Core Certification) Exam is a certification exam designed to assess the knowledge and skills of Snowflake users in the core concepts of Snowflake. COF-C02 exam is intended for data professionals who work with Snowflake and want to demonstrate their expertise in the platform. The SnowPro Core Certification Exam covers a range of topics, including Snowflake architecture, data loading and unloading, data modeling, security, and performance optimization. COF-C02 exam is a comprehensive assessment of a candidate's understanding of Snowflake, and passing it demonstrates that the candidate has the skills and knowledge to work effectively with the platform.
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