What information is found within the Statistic output in the Query Profile Overview?
Operator tree
Table pruning
Most expensive nodes
Nodes by execution time
The Statistic output in the Query Profile Overview of Snowflake provides detailed insights into the performance of different parts of the query. Specifically, it highlights the "Most expensive nodes," which are the operations or steps within the query execution that consume the most resources, such as CPU and memory. Identifying these nodes helps in pinpointing performance bottlenecks and optimizing query execution by focusing efforts on the most resource-intensive parts of the query.
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QUSTION NO: 582
How do secure views compare to non-secure views in Snowflake?
A. Secure views execute slowly compared to non-secure views.
B. Non-secure views are preferred over secure views when sharing data.
C. Secure views are similar to materialized views in that they are the most performant.
D. There are no performance differences between secure and non-secure views.
Answer: D
Secure views and non-secure views in Snowflake are differentiated primarily by their handling of data access and security rather than performance characteristics. A secure view enforces row-level security and ensures that the view definition is hidden from the users. However, in terms of performance, secure views do not inherently execute slower or faster than non-secure views. The performance of both types of views depends more on other factors such as underlying table design, query complexity, and system workload rather than the security features embedded in the views themselves.
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QUSTION NO: 583
When using SnowSQL, which configuration options are required when unloading data from a SQL query run on a local machine? {Select TWO).
A. echo
B. quiet
C. output_file
D. output_format
E. force_put_overwrite
Answer: C, D
When unloading data from SnowSQL (Snowflake's command-line client), to a file on a local machine, you need to specify certain configuration options to determine how and where the data should be outputted. The correct configuration options required are:
These options are specified in the SnowSQL configuration file or directly in the SnowSQL command line. The configuration file allows users to set defaults and customize their usage of SnowSQL, including output preferences for unloading data.
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QUSTION NO: 584
How can a Snowflake user post-process the result of SHOW FILE FORMATS?
A. Use the RESULT_SCAN function.
B. Create a CURSOR for the command.
C. Put it in the FROM clause in brackets.
D. Assign the command to RESULTSET.
Answer: A
first run SHOW FILE FORMATS
then SELECT * FROM TABLE(RESULT_SCAN(LAST_QUERY_ID(-1)))
QUSTION NO: 585
Which file function gives a user or application access to download unstructured data from a Snowflake stage?
A. BUILD_SCOPED_FILE_URL
B. BUILD_STAGE_FILE_URL
C. GET_PRESIGNED_URL
D. GET STAGE LOCATION
Answer: C
The function that provides access to download unstructured data from a Snowflake stage is:
Example usage:
SELECT GET_PRESIGNED_URL('stage_name', 'file_path');
This function simplifies the process of securely sharing or accessing files stored in Snowflake stages with external systems or users.
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QUSTION NO: 586
When should a multi-cluster virtual warehouse be used in Snowflake?
A. When queuing is delaying query execution on the warehouse
B. When there is significant disk spilling shown on the Query Profile
C. When dynamic vertical scaling is being used in the warehouse
D. When there are no concurrent queries running on the warehouse
Answer: A
A multi-cluster virtual warehouse in Snowflake is designed to handle high concurrency and workload demands by allowing multiple clusters of compute resources to operate simultaneously. The correct scenario to use a multi-cluster virtual warehouse is:
This is especially useful in scenarios with fluctuating workloads or where it's critical to maintain low response times for a large number of concurrent queries.
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QUSTION NO: 587
A JSON object is loaded into a column named data using a Snowflake variant datatype. The root node of the object is BIKE. The child attribute for this root node is BIKEID.
Which statement will allow the user to access BIKEID?
A. select data:BIKEID
B. select data.BIKE.BIKEID
C. select data:BIKE.BIKEID
D. select data:BIKE:BIKEID
Answer: C
In Snowflake, when accessing elements within a JSON object stored in a variant column, the correct syntax involves using a colon (:) to navigate the JSON structure. The BIKEID attribute, which is a child of the BIKE root node in the JSON object, is accessed using data:BIKE.BIKEID. This syntax correctly references the path through the JSON object, utilizing the colon for JSON field access and dot notation to traverse the hierarchy within the variant structure.References: Snowflake documentation on accessing semi-structured data, which outlines how to use the colon and dot notations for navigating JSON structures stored in variant columns.
QUSTION NO: 588
Which Snowflake tool is recommended for data batch processing?
A. SnowCD
B. SnowSQL
C. Snowsight
D. The Snowflake API
Answer: B
For data batch processing in Snowflake, the recommended tool is:
SnowSQL provides a flexible and powerful way to interact with Snowflake, supporting operations such as loading and unloading data, executing complex queries, and managing Snowflake objects from the command line or through scripts.
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QUSTION NO: 589
How does the Snowflake search optimization service improve query performance?
A. It improves the performance of range searches.
B. It defines different clustering keys on the same source table.
C. It improves the performance of all queries running against a given table.
D. It improves the performance of equality searches.
Answer: D
The Snowflake Search Optimization Service is designed to enhance the performance of specific types of queries on large tables. The correct answer is:
This optimization is particularly beneficial for large tables where traditional scans might be inefficient for equality searches. By using the Search Optimization Service, Snowflake can leverage the search indexes to quickly locate the rows that match the search criteria without scanning the entire table.
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QUSTION NO: 590
What compute resource is used when loading data using Snowpipe?
A. Snowpipe uses virtual warehouses provided by the user.
B. Snowpipe uses an Apache Kafka server for its compute resources.
C. Snowpipe uses compute resources provided by Snowflake.
D. Snowpipe uses cloud platform compute resources provided by the user.
Answer: C
Snowpipe is Snowflake's continuous data ingestion service that allows for loading data as soon as it's available in a cloud storage stage. Snowpipe uses compute resources managed by Snowflake, separate from the virtual warehouses that users create for querying data. This means that Snowpipe operations do not consume the computational credits of user-created virtual warehouses, offering an efficient and cost-effective way to continuously load data into Snowflake.
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QUSTION NO: 591
What is one of the characteristics of data shares?
A. Data shares support full DML operations.
B. Data shares work by copying data to consumer accounts.
C. Data shares utilize secure views for sharing view objects.
D. Data shares are cloud agnostic and can cross regions by default.
Answer: C
Data sharing in Snowflake allows for live, read-only access to data across different Snowflake accounts without the need to copy or transfer the data. One of the characteristics of data shares is the ability to use secure views. Secure views are used within data shares to restrict the access of shared data, ensuring that consumers can only see the data that the provider intends to share, thereby preserving privacy and security.
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QUSTION NO: 592
Which DDL/DML operation is allowed on an inbound data share?
A. ALTER TA3LE
B. INSERT INTO
C. MERGE
D. SELECT
Answer: D
In Snowflake, an inbound data share refers to the data shared with an account by another account. The only DDL/DML operation allowed on an inbound data share is SELECT. This restriction ensures that the shared data remains read-only for the consuming account, maintaining the integrity and ownership of the data by the sharing account.
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QUSTION NO: 593
In Snowflake, the use of federated authentication enables which Single Sign-On (SSO) workflow activities? (Select TWO).
A. Authorizing users
B. Initiating user sessions
C. Logging into Snowflake
D. Logging out of Snowflake
E. Performing role authentication
Answer: B C
Federated authentication in Snowflake allows users to use their organizational credentials to log in to Snowflake, leveraging Single Sign-On (SSO). The key activities enabled by this setup include:
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QUSTION NO: 594
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. SQL API
D. Python connector
E. Snowsight worksheets
Answer: B, E
To upload a file to an internal Snowflake stage using a PUT command, you can use:
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A tag object has been assigned to a table (TABLE_A) in a schema within a Snowflake database.
Which CREATE object statement will automatically assign the TABLE_A tag to a target object?
CREATE TABLE
CREATE VIEW
CREATE TABLE
CREATE MATERIALIZED VIEW
When a tag object is assigned to a table, using the statement CREATE TABLE <table_name> AS SELECT * FROM TABLE_A will automatically assign the TABLE_A tag to the newly created table2.
How is unstructured data retrieved from data storage?
SQL functions like the GET command can be used to copy the unstructured data to a location on the client.
SQL functions can be used to create different types of URLs pointing to the unstructured data. These URLs can be used to download the data to a client.
SQL functions can be used to retrieve the data from the query results cache. When the query results are output to a client, the unstructured data will be output to the client as files.
SQL functions can call on different web extensions designed to display different types of files as a web page. The web extensions will allow the files to be downloaded to the client.
Unstructured data stored in Snowflake can be retrieved by using SQL functions to generate URLs that point to the data. These URLs can then be used to download the data directly to a client
Which Snowflake function will parse a JSON-null into a SQL-null?
TO_CHAR
TO_VARIANT
TO_VARCHAR
STRIP NULL VALUE
The STRIP_NULL_VALUE function in Snowflake is used to convert a JSON null value into a SQL NULL value1.
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