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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q149-Q154):

NEW QUESTION # 149
You are loading data into a Snowflake table using the 'COPY INTO' command. The data is in JSON format, and one of the fields in the JSON data, 'timestamp_field', represents a Unix epoch timestamp in seconds. You need to convert this timestamp to a Snowflake timestamp data type during the loading process. Which of the following 'COPY INTO' statements would correctly perform this conversion?

Answer: D

Explanation:
The correct solution uses 'TO_TIMESTAMP' with the result of , 'timestamp_field')' cast to NUMBER (since epoch time is a number). `GET PATH' returns a VARIANT, which needs to be explicitly cast to the correct data type before being passed to TO_TIMESTAMP. The cast converts the VARIANT to a numeric value. The other options either don't correctly cast the VARIANT or use an incorrect TO TIMESTAMP function variation.

NEW QUESTION # 150
A data scientist wants to use a library, 'special_function', within a Snowflake Notebook, but that library is not pre-installed in the Snowflake environment. The data scientist does not have ACCOUNTADMIN privileges. Which of the following methods could be used to make the
'special_function' library available for use within the notebook?

A. Create a zip file containing `special_function' and its dependencies, upload it to an internal stage, and then use in the notebook to make the package available to the Snowpark session.
B. Create a local virtual environment within the Snowflake Notebook's file system, install the library into the virtual environment, and then activate the virtual environment before using the library.
C. Upload the library file ('special_function.py' or similar) to a Snowflake stage, and then import the library within the notebook using a relative path to the stage file location.
D. Use '!pip install special_function' in a notebook cell. This will install the library globally for all users on the Snowflake account.
E. Request an ACCOUNTADMIN to create a Snowflake Anaconda channel using 'CREATE ANACONDA INTEGRATION and upload the library to that channel.

Answer: A

Explanation:
The correct approach is to package the library and upload it to a stage, then use This allows users without ACCOUNTADMIN to use custom libraries. install' (A) requires specific permissions that the user lacks, and installs globally, which is undesirable. Creating an Anaconda integration (B) also requires ACCOUNTADMIN. Virtual environments (C) are not the typical way Snowflake handles external dependencies in notebooks and there are limitation regarding the location.
Uploading directly and importing via relative path (D) can create import errors and may not work with all library types.
Packages from a stage should be made available through

NEW QUESTION # 151
How can users integrate Streamlit with Snowflake notebooks?

A. By creating manual scripts
B. By configuring network settings
C. By using Streamlit functions within Python code in the notebook
D. By writing HTML code

Answer: C

Explanation:
Snowflake Notebooks provide native integration with Streamlit, allowing users to build interactive data apps directly inside Snowflake. Users can call Streamlit functions such as st.write(), st.dataframe(), st.button(), and st.slider() within Python cells. No external HTML, scripting, or network configuration is required. Streamlit components execute seamlessly in the notebook environment, enabling dashboards and interactive visualizations on top of Snowflake data.

NEW QUESTION # 152
What are the three key layers of Snowflake's architecture?

A. Data Repository, Compute Clusters, Metadata Management
B. Authentication, Access Control, Cloud Services
C. Data Storage, Query Processing, Cloud Services
D. Database Storage, ODBC Drivers, Virtual Warehouses

Answer: C

Explanation:
Snowflake's architecture is built on three primary layers that separate and optimize storage, compute, and services. TheData Storagelayer stores all structured and semi-structured data in Snowflake's optimized, compressed columnar format. Snowflake manages file organization, metadata, and optimizations automatically, ensuring efficient storage management. TheQuery Processinglayer is implemented through virtual warehouses that independently execute queries using MPP (massively parallel processing) compute clusters. These warehouses scale elastically based on workload requirements. TheCloud Serviceslayer manages metadata, authentication, access control, query optimization, and infrastructure orchestration. This separation allows independent scaling of compute and storage, optimizing performance while simplifying administration.

NEW QUESTION # 153
Which of the following Snowflake functions is used to generate pre-signed URLs for accessing files in a stage?

A. GET_RELATIVE_PATH()
B. GET_STAGE_LOCATION()
C. BUILD_STAGE_FILE_URL()
D. GET_PRESIGNED_URL()

Answer: D

Explanation:
GET_PRESIGNED_URL() is the official Snowflake function used to create atemporary, secure, time-limited pre-signed URL, which provides controlled-access retrieval of a file stored in a Snowflake internal or external stage. Pre-signed URLs are essential for secure file sharing without exposing credentials or granting direct stage access to external users. The function accepts the stage name and file path and optionally allows specifying an expiration period. GET_STAGE_LOCATION() retrieves metadata about where a stage points, not access URLs. BUILD_STAGE_FILE_URL() constructs a basic URL but does not sign it, meaning it cannot authorize secure download access. GET_RELATIVE_PATH() provides path-only details, not a secure download link. GET_PRESIGNED_URL ensures that external consumers can access staged files safely, making it an important feature for secure distribution workflows, data export pipelines, partner integrations, and temporary file sharing scenarios.

NEW QUESTION # 154
......

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