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NEW QUESTION 1
Which Snowflake architectural layer is responsible for a query execution plan?
- A. Compute
- B. Data storage
- C. Cloud services
- D. Cloud provider
Answer: C
Explanation:
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.
NEW QUESTION 2
Which Snowflake command can be used to unload the result of a query to a single file?
- A. Use COPY INTO <external stage> followed by a GET command to download the file.
- B. Use COPY INTO <internal stage> followed by a put command to download the file.
- C. Use COPY INTO <internal stage> with SINGLE = TRUE followed by a GET command to download the file.
- D. Use COPY INTO <external stage> with SINGLE = TRUE followed by a PUT command to download the file.
Answer: C
Explanation:
The Snowflake command to unload the result of a query to a single file is COPY INTO <internal stage> with SINGLE = TRUE followed by a GET command to download the file. This command unloads the query result into a single file in the specified internal stage
NEW QUESTION 3
What is the SNOWFLAKE.ACCOUNT_USAGE view that contains information about which objects were read by queries within the last 365 days (1 year)?
- A. VIEWS_HISTORY
- B. OBJECT_HISTORY
- C. ACCESS_HISTORY
- D. LOGIN_HISTORY
Answer: C
Explanation:
The ACCESS_HISTORY view in the SNOWFLAKE.ACCOUNT_USAGE schema contains information about the access history of Snowflake objects, such as tables and views, within the last 365 days1.
NEW QUESTION 4
What is the default character set used when loading CSV files into Snowflake?
- A. UTF-8
- B. UTF-16
- C. ISO S859-1
- D. ANSI_X3.A
Answer: A
Explanation:
https://docs.snowflake.com/en/user-guide/intro-summary-loading.html#:~:text=For%20delimited%20files%20(CSV%2C%20TSV,encoding%20to%20 use%20for%20loading.
For delimited files (CSV, TSV, etc.), the default character set is UTF-8. To use any other characters sets, you must explicitly specify the encoding to use for loading. For the list of supported character sets, see Supported Character Sets for Delimited Files (in this topic).
NEW QUESTION 5
Who can grant object privileges in a regular schema?
- A. Object owner
- B. Schema owner
- C. Database owner
- D. SYSADMIN
Answer: A
Explanation:
In a regular schema within Snowflake, the object owner has the privilege to grant object privileges. The object owner is typically the role that created the object or to whom the ownership of the object has been transferred78.
References = [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION 6
Why would a Snowflake user load JSON data into a VARIANT column instead of a string column?
- A. A VARIANT column is more secure than a string column
- B. A VARIANT column compresses data and a string column does not.
- C. A variant column can be used to create a data hierarchy and a string column cannot
- D. A VARIANT column will have a better query performance than a string column.
Answer: C
Explanation:
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
NEW QUESTION 7
There are two Snowflake accounts in the same cloud provider region: one is production and the other is non-production. How can data be easily transferred from the production account to the non-production account?
- A. Clone the data from the production account to the non-production account.
- B. Create a data share from the production account to the non-production account.
- C. Create a subscription in the production account and have it publish to the non- production account.
- D. Create a reader account using the production account and link the reader account to the non-production account.
Answer: B
Explanation:
To easily transfer data from a production account to a non-production account in Snowflake within the same cloud provider region, creating a data share is the most efficient approach. Data sharing allows for live, read-only access to selected data objects from the production account to the non-production account without the need to duplicate or move the actual data. This method facilitates seamless access to the data for development, testing, or analytics purposes in the non-production environment. References:
✑ Snowflake Documentation: Data Sharing
NEW QUESTION 8
Which query types will have significant performance improvement when run using the search optimization service? (Select TWO)
- A. Range searches
- B. Equality searches
- C. Substring searches
- D. Queries with IN predicates
- E. Queries with aggregation
Answer: AB
Explanation:
The search optimization service in Snowflake significantly improves the performance of range searches and equality searches. Range searches involve looking for values within a specific range (e.g., BETWEEN, <, >). Equality searches involve looking for values that match a specific value (e.g., =).
References:
✑ Snowflake Documentation: Search Optimization Service
NEW QUESTION 9
How often are encryption keys automatically rotated by Snowflake?
- A. 30 Days
- B. 60 Days
- C. 90 Days
- D. 365 Days
Answer: A
Explanation:
Snowflake automatically rotates encryption keys when they are more than 30 days old. Active keys are retired, and new keys are created. This process is part of Snowflake??s comprehensive security measures to ensure data protection and is managed entirely by the Snowflake service without requiring user intervention.
References:
✑ Understanding Encryption Key Management in Snowflake
NEW QUESTION 10
When unloading data to an external stage, what is the MAXIMUM file size supported?
- A. 1 GB
- B. 5 GB
- C. 10 GB
- D. 16 GB
Answer: B
Explanation:
When unloading data to an external stage, the maximum file size supported is 5 GB. This limit ensures efficient data transfer and management within Snowflake??s architecture
NEW QUESTION 11
Which Snowflake layer is associated with virtual warehouses?
- A. Cloud services
- B. Query processing
- C. Elastic memory
- D. Database storage
Answer: B
Explanation:
The layer of Snowflake's architecture associated with virtual warehouses is the Query Processing layer. Virtual warehouses in Snowflake are dedicated compute clusters that execute SQL queries against the stored data. This layer is responsible for the entire query execution process, including parsing, optimization, and the actual computation. It operates independently of the storage layer, enabling Snowflake to scale compute and storage resources separately for efficiency and cost-effectiveness.
References:
✑ Snowflake Documentation: Snowflake Architecture
NEW QUESTION 12
Which features could be used to improve the performance of queries that return a small subset of rows from a large table? (Select TWO).
- A. Search optimization service
- B. Automatic clustering
- C. Row access policies
- D. Multi-cluster virtual warehouses
- E. Secure views
Answer: AB
Explanation:
The search optimization service and automatic clustering are features that can improve the performance of queries returning a small subset of rows from a large table. The search optimization service is designed for low-latency point lookup queries, while automatic clustering organizes data in micro-partitions based on specific dimensions to reduce the amount of data scanned during queries.
NEW QUESTION 13
What is a feature of column-level security in Snowflake?
- A. Role access policies
- B. Network policies
- C. Internal tokenization
- D. External tokenization
Answer: A
Explanation:
Column-level security in Snowflake is implemented through Role Access Policies. These policies allow administrators to control access to specific columns of a table or view based on the role of the user accessing the data. By applying a role access policy to a column, administrators can ensure that sensitive information remains secure, and only users with the appropriate roles can view or query the data in that column. This feature enhances the security model by providing fine-grained access control at the column level.
References:
✑ Snowflake Documentation: Implementing Column-level Security
NEW QUESTION 14
From what stage can a Snowflake user omit the FROM clause while loading data into a table?
- A. The user stage
- B. The table stage
- C. The internal named stage
- D. The external named stage
Answer: B
Explanation:
In Snowflake, when loading data into a table using the COPY INTO command, the FROM clause can be omitted if loading from the table's stage, also known as the table stage. The table stage is a default location associated with each table where files can be temporarily stored for loading operations. This simplifies the data loading process by allowing direct loading from files that have been uploaded to the table's stage without specifying the stage explicitly in the COPY INTO command.
References:
✑ Snowflake Documentation: Loading Data into Tables
NEW QUESTION 15
When should a user consider disabling auto-suspend for a virtual warehouse? (Select TWO).
- A. When users will be using compute at different times throughout a 24/7 period
- B. When managing a steady workload
- C. When the compute must be available with no delay or lag time
- D. When the user does not want to have to manually turn on the warehouse each time it is needed
- E. When the warehouse is shared across different teams
Answer: BC
Explanation:
Disabling auto-suspend for a virtual warehouse is recommended when there is a steady workload, which ensures that compute resources are always available. Additionally, it is advisable to disable auto-suspend when immediate availability of compute resources is critical, eliminating any startup delay
NEW QUESTION 16
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. The data from the permanent table.
- B. The data from the temporary table.
- C. An error stating that the view could not be compiled.
- D. An error stating that the referenced object could not be uniquely identified.
Answer: A
Explanation:
When a view is defined on a permanent table, and a temporary table with the same name is created in the same schema, the query from the view will return the data from the permanent table. Temporary tables are session-specific and do not affect the data returned by views defined on permanent tables2.
NEW QUESTION 17
If a virtual warehouse runs for 61 seconds, shut down, and then restart and runs for 30 seconds, for how many seconds is it billed?
- A. 60
- B. 91
- C. 120
- D. 121
Answer: C
Explanation:
Snowflake bills virtual warehouse usage in one-minute increments, rounding up to the nearest minute for any partial minute of compute time used. If a virtual warehouse runs for 61 seconds and then, after being shut down, restarts and runs for an additional 30 seconds, the total time billed would be 120 seconds or 2 minutes. The first 61 secondsare rounded up to 2 minutes, and the subsequent 30 seconds are within a new minute, which is also rounded up to the nearest minute.
References:
✑ Snowflake Documentation: Virtual Warehouses Billing
NEW QUESTION 18
Network policies can be applied to which of the following Snowflake objects? (Choose two.)
- A. Roles
- B. Databases
- C. Warehouses
- D. Users
- E. Accounts
Answer: DE
Explanation:
Network policies in Snowflake can be applied to users and accounts. These policies control inbound access to the Snowflake service and internal stages, allowing or denying access based on the originating network identifiers12.
References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION 19
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