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NEW QUESTION # 538
What is the purpose of multi-cluster virtual warehouses?
- A. To create separate data warehouses to increase query optimization
- B. To allow users the ability to choose the type of compute nodes that make up a virtual warehouse cluster
- C. To allow the warehouse to resize automatically
- D. To eliminate or reduce Queuing of concurrent queries
Answer: D
Explanation:
Explanation
https://docs.snowflake.com/en/user-guide/warehouses-multicluster.html#:~:text=Multi%2Dcluster%20warehous
NEW QUESTION # 539
Which data type can be used to store geospatial data in Snowflake?
- A. Object
- B. Geometry
- C. Geography
- D. Variant
Answer: C
NEW QUESTION # 540
A department uses a multi-cluster virtual warehouse to run ad hoc reports for multiple business analysts. The warehouse load history shows that many report queries were queuing before they were run. How can this issue be solved?
- A. Convert the warehouse to a Snowpark-optimized virtual warehouse.
- B. Add more clusters to the warehouse.
- C. Increase the size of the warehouse.
- D. Set up a schedule to limit how many reports can be run at the same time.
Answer: B
Explanation:
The correct answer is B. Add more clusters to the warehouse .
Queued queries on a multi-cluster warehouse usually indicate a concurrency problem. Multiple analysts are submitting queries at the same time, and the warehouse does not have enough active cluster capacity to process them concurrently.
Why B is correct:
Adding more clusters to a multi-cluster warehouse increases concurrency capacity. In Auto-scale mode, Snowflake can start additional clusters as needed, up to the configured maximum, to reduce queuing.
Why the other options are incorrect:
A). Scheduling or limiting reports may reduce concurrency, but it adds operational overhead and does not use Snowflake's built-in multi-cluster scaling capability.
C). Increasing warehouse size can make individual queries faster, but it does not directly improve concurrency as effectively as adding clusters.
D). A Snowpark-optimized warehouse is intended for memory-intensive Snowpark workloads, not for reducing query queues from many concurrent BI/ad hoc users.
Official Snowflake documentation reference:
Snowflake documentation explains that multi-cluster warehouses are designed to handle concurrency by automatically scaling out with additional clusters.
Reference: Snowflake Documentation - Multi-cluster warehouses; Warehouse load monitoring; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 541
What is the most efficient method to share a subset of data from a table with a consumer account?
- A. Create a secure User-Defined Function, or UDF.
- B. Create an external table.
- C. Create a secure view.
- D. Use a dynamic table.
Answer: C
Explanation:
The correct answer is D. Create a secure view .
A secure view is the recommended and efficient way to share a filtered subset of data with a consumer account using Snowflake Secure Data Sharing. The provider can define the rows and columns that should be visible, then share the secure view instead of sharing the full base table.
Why D is correct:
A secure view protects the view definition from unauthorized users and can be used to expose only selected rows or columns from an underlying table.
Example concept:
CREATE SECURE VIEW shared_sales_west AS
SELECT order_id, customer_id, amount, region
FROM sales
WHERE region = ' WEST ' ;
The provider can then include this secure view in a share, allowing the consumer to query only the approved subset of data.
Why the other options are incorrect:
A). A secure UDF can protect function logic, but it is not the most efficient method for sharing a subset of table data.
B). A dynamic table materializes transformation results, but it is not the standard method for secure data sharing with filtered access.
C). An external table allows querying data in external cloud storage. It is not the best method for sharing a subset of Snowflake table data.
Official Snowflake documentation reference:
Snowflake documentation explains that secure views are used with Secure Data Sharing when a provider wants to share filtered or restricted data while protecting the underlying query definition.
Reference: Snowflake Documentation - Secure Data Sharing; Snowflake Documentation - Secure views; SnowPro Core Study Guide - Data Protection and Governance.
NEW QUESTION # 542
When do Snowflake object owners lose their ability to make grant decisions?
- A. When the object is part of a managed access schema
- B. When the object is part of a regular schema
- C. When the object owner has been granted an account role
- D. When the object owner has been granted a database role
Answer: A
Explanation:
* In a managed access schema, only the schema owner can manage privileges.
* Object owners lose their ability to make grant decisions because access control is centrally managed at the schema level.
* This is useful for enforcing strict governance policies.
References:
* Snowflake Documentation: Managed Access Schemas
* Snowflake Best Practices for Object Ownership
NEW QUESTION # 543
How can a Snowflake user access near real-time metrics that can be used to identify queries affected by disk spilling?
- A. Review the history section of the Query Profile.
- B. Use a worksheet.
- C. Use a load monitoring chart.
- D. Implement a Snowsight dashboard.
Answer: A
NEW QUESTION # 544
True or False: Snowpipe via REST API can only reference External Stages as source.
- A. False
- B. True
Answer: A
Explanation:
Reference: https://community.snowflake.com/s/article/Making-Transient-table-by-Default
NEW QUESTION # 545
Which privilege must be granted by one role to another role, and cannot be revoked?
- A. MONITOR
- B. ALL
- C. OPERATE
- D. OWNERSHIP
Answer: D
Explanation:
The OWNERSHIP privilege is unique in that it must be granted by one role to another and cannot be revoked.
This ensures that the transfer of ownership is deliberate and permanent, reflecting the importance of ownership in managing access and permissions.
NEW QUESTION # 546
A Snowflake user wants to design a series of transformations that need to be executed in a specific order on a given schedule.
Which of the snowflake objects should be used?
- A. Streams
- B. Tasks
- C. Pipes
- D. Sequences
Answer: B
NEW QUESTION # 547
Which function determines the kind of value stored in a VARIANT column?
- A. IS_ARRAY
- B. IS_JSON
- C. TYPEOF
- D. CHECK_JSON
Answer: C
Explanation:
The function used to determine the kind of value stored in a VARIANT column in Snowflake is TYPEOF.
Understanding VARIANT Data Type:
VARIANT is a flexible data type in Snowflake that can store semi-structured data, such as JSON, Avro, and XML.
This data type can hold values of different types, including strings, numbers, objects, arrays, and more.
Using TYPEOF Function:
The TYPEOF function returns the data type of the value stored in a VARIANT column.
It helps in identifying the type of data, which is crucial for processing and transforming semi-structured data accurately.
Example Usage:
SELECT TYPEOF(variant_column)
FROM my_table;
This query retrieves the type of data stored in variant_column for each row in my_table.
Possible return values include 'OBJECT', 'ARRAY', 'STRING', 'NUMBER', etc.
Benefits:
Simplifies data processing: Knowing the data type helps in applying appropriate transformations and validations.
Enhances query accuracy: Ensures that operations on VARIANT columns are performed correctly based on the data type.
Reference:
Snowflake Documentation: TYPEOF
Snowflake Documentation: VARIANT Data Type
NEW QUESTION # 548
What are the benefits of the replication feature in Snowflake? (Select TWO).
- A. Fail-safe
- B. Database failover and fallback
- C. Disaster recovery
- D. Time Travel
- E. Data security
Answer: B,C
Explanation:
The replication feature in Snowflake provides several benefits, with disaster recovery and database failover and fallback being two of the primary advantages. Replication allows for the continuous copying of data from one Snowflake account to another, ensuring that a secondary copy of the data is available in case of outages or disasters. This capability supports disaster recovery strategies by allowing operations to quickly switch to the replicated data in a different account or region. Additionally, it facilitates database failover and fallback procedures, ensuring business continuity and minimizing downtime.
Reference:
Snowflake Documentation: Data Replication
NEW QUESTION # 549
What step can reduce data spilling in Snowflake?
- A. Using a common table expression (CTE) instead of a temporary table
- B. Increasing the amount of remote storage for the virtual warehouse
- C. Using a larger virtual warehouse
- D. Increasing the virtual warehouse maximum timeout limit
Answer: C
Explanation:
To reduce data spilling in Snowflake, using a larger virtual warehouse is effective because it provides more memory and local disk space, which can accommodate larger data operations and minimize the need to spill data to disk or remote storage1. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 550
What is a key difference between the Snowflake CLI and SnowSQL?
- A. SnowSQL is used for managing workloads and applications, while Snowflake CLI executes queries.
- B. Snowflake CLI is primarily used for managing workloads and applications, while SnowSQL is used for executing operations.
- C. Snowflake CLI only supports query execution, while SnowSQL manages Python packages.
- D. SnowSQL supports only Data Definition Language, or DDL, operations, while Snowflake CLI supports only Data Manipulation Language, or DML, operations.
Answer: B
Explanation:
The correct answer is B. Snowflake CLI is primarily used for managing workloads and applications, while SnowSQL is used for executing operations .
SnowSQL is Snowflake's command-line client that is primarily used to connect to Snowflake and execute SQL statements. It is commonly used for SQL operations, including running queries, loading data, unloading data, and executing scripts.
Snowflake CLI is a broader command-line tool designed for managing Snowflake workloads and application development workflows. It supports tasks related to Snowflake Native Apps, Snowpark, Streamlit, stages, tasks, and other development or deployment activities.
Why B is correct:
Snowflake CLI is more focused on managing Snowflake workloads, projects, and applications. SnowSQL is primarily used as a SQL command-line client to execute SQL operations against Snowflake.
Why the other options are incorrect:
A). This reverses the primary purposes of the tools. SnowSQL is not mainly for managing workloads and applications.
C). SnowSQL is not limited to DDL, and Snowflake CLI is not limited to DML.
D). Snowflake CLI is not limited to query execution, and SnowSQL is not a Python package management tool.
Official Snowflake documentation reference:
Snowflake documentation describes SnowSQL as the command-line client for connecting to Snowflake and executing SQL queries. Snowflake CLI is described as a command-line tool for developer workflows and managing Snowflake workloads and applications.
Reference: Snowflake Documentation - SnowSQL; Snowflake Documentation - Snowflake CLI; SnowPro Core Study Guide - Snowflake Account and Resource Management.
NEW QUESTION # 551
Which commands can only be executed using SnowSQL? (Select TWO).
- A. COPY INTO
- B. PUT
- C. LIST
- D. REMOVE
- E. GET
Answer: B,C
Explanation:
The LIST and PUT commands are specific to SnowSQL and cannot be executed in the web interface or other SQL clients. LIST is used to display the contents of a stage, and PUT is used to upload files to a stage. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 552
A user wants to access stored in a stage without authenticating into Snowflake.
Which type of URL should be used?
- A. File URL
- B. Scoped URL
- C. Staged URL
- D. Pre-signed URL
Answer: D
Explanation:
A pre-signed URL provides a way to access objects stored in a stage without requiring authentication to Snowflake. This URL contains all the necessary information for access control, including an expiration time, and it's signed by the service's credentials. This mechanism allows users or applications to access specific files stored in a cloud storage location (stage) directly, bypassing the need to authenticate into Snowflake, ensuring secure and temporary access to the data.
References: Snowflake Documentation on Stages and Data Loading
NEW QUESTION # 553
If a Snowflake user decides a table should be clustered, what should be used as the cluster key?
- A. The columns most actively used in the select filters.
- B. The columns with very high cardinality.
- C. The columns with many different values.
- D. The columns that are queried in the select clause.
Answer: A
Explanation:
When deciding on a clustering key for a table, Snowflake recommends using the columns that are most actively used in the select filters. This is because clustering by these columns can improve the performance of queries that filter on these values, leading to more efficient scans and better overall query performance2. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 554
A company needs to read multiple terabytes of data for an initial load as part of a Snowflake migration. The company can control the number and size of CSV extract files.
How does Snowflake recommend maximizing the load performance?
- A. Produce the largest files possible, reducing the overall number of files to process.
- B. Use auto-ingest Snowpipes to load large files in a serverless model.
- C. Use an external tool to issue batched row-by-row inserts within BEGIN TRANSACTION and COMMIT commands.
- D. Produce a larger number of smaller files and process the ingestion with size Small virtual warehouses.
Answer: A
Explanation:
Snowflake's documentation recommends producing the largest files possible for data loading, as larger files reduce the number of files to process and the overhead associated with handling many small files. This approach can maximize the load performance by leveraging Snowflake's ability to ingest large files efficiently1. Reference: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 555
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