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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Architecture & Core Concepts | 31% | - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features |
| Topic 2: Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace - Data Protection, Retention, Time Travel, Fail-safe |
| Topic 3: Performance Optimization, Querying & Transformation | 21% | - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines |
| Topic 4: Account Management & Data Governance | 20% | - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption |
| Topic 5: Data Loading, Unloading & Connectivity | 18% | - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - Stages, File Formats, COPY INTO, Snowpipe |
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NEW QUESTION # 1095
Which query contains a Snowflake hosted file URL in a directory table for a stage named bronzestage?
Answer: D
Explanation:
The query that contains a Snowflake hosted file URL in a directory table for a stage named bronzestage is select * from directory(@bronzestage).This query retrieves a list of all files on the stage along with metadata, including the Snowflake file URL for each file3.
NEW QUESTION # 1096
How can a Snowflake user access a JSON object, given the following table? (Select TWO).
Answer: C,E
Explanation:
To access a JSON object in Snowflake, dot notation is used where the path to the object is specified after the column name containing the JSON data. Both lowercase and uppercase can be used for attribute names, so both "name" and "Name" are valid. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 1097
What calculation of metrics found in the QUERY_HISTORY view can be used to determine whether optimizing virtual warehouse caching will improve the performance of a long-running query?
Answer: A
Explanation:
The useful calculation is based on BYTES_SCANNED and PERCENTAGE_SCANNED_FROM_CACHE.
These metrics help estimate how much scanned data came from the warehouse cache. A low cache percentage on a query that scans many bytes may indicate that warehouse cache optimization could help.
Corrected note: the original options had OCR errors. The best matching valid answer is B .
Reference: Snowflake Documentation - QUERY_HISTORY view; Warehouse cache; Query performance monitoring.
NEW QUESTION # 1098
Which option will replace NULL values with an empty string while unloading data into a file?
Answer: A
NEW QUESTION # 1099
Which function is used to retrieve the filename for a file stored on a stage?
Answer: A
Explanation:
The correct answer is A. GET_RELATIVE_PATH .
The GET_RELATIVE_PATH function is used to return the relative path of a staged file. The relative path identifies the file name and path of the file within the stage.
Why A is correct:
A file stored in a stage can be referenced by its relative path. GET_RELATIVE_PATH retrieves that relative path, which includes the file name.
Why the other options are incorrect:
B). GET_STAGE_LOCATION returns the URL or location of a stage, not the filename of a specific staged file.
C). BUILD_STAGE_FILE_URL creates a URL for accessing a staged file, but it is not used simply to retrieve the filename.
D). GET_OBJECT_REFERENCES is related to object references, not staged file names.
Official Snowflake documentation reference:
Snowflake documentation describes GET_RELATIVE_PATH as a function that returns the relative path for a staged file.
Reference: Snowflake Documentation - File functions; Snowflake Documentation - GET_RELATIVE_PATH; SnowPro Core Study Guide - Data Loading and Unloading.
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NEW QUESTION # 1100
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