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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Snowflake Architecture & Core Concepts | 31% | - Virtual Warehouses, Clustering, Caching - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Databases, Schemas, Objects, Data Types |
| Topic 2: Data Collaboration & Protection | 10% | - Data Protection, Retention, Time Travel, Fail-safe - Data Clean Rooms, Collaboration Features - Secure Data Sharing, Listings, Marketplace |
| Topic 3: Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - Stages, File Formats, COPY INTO, Snowpipe - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables |
| Topic 4: Account Management & Data Governance | 20% | - Governance: Resource Monitors, Data Masking, Row/Column Security - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges |
| Topic 5: Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables - SQL Transformations, Semi-structured/Unstructured Data |
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NEW QUESTION # 1010
When using the ALLOW_CLIENT_MFA_CACHING parameter, how long is a cached Multi-Factor Authentication (MFA) token valid for?
Answer: D
Explanation:
A cached MFA token is valid for up to four hours.https://docs.snowflake.com/en/user-guide/security- mfa#using-mfa-token-caching-to-minimize-the-number-of-prompts-during-authentication-optional
NEW QUESTION # 1011
Which command will unload data from a table into an external stage?
Answer: D
Explanation:
In Snowflake, theCOPY INTO < location > command is used to unload (export) data from a Snowflake table to an external stage, such as an S3 bucket, Azure Blob Storage, or Google Cloud Storage. This command allows users to specify the format, file size, and other options for the data being unloaded, making it a flexible solution for exporting data from Snowflake to external storage solutions for further use or analysis.
References: Snowflake Documentation on Data Unloading
NEW QUESTION # 1012
Which service is designed to process unstructured data and put it into tables?
Answer: D
Explanation:
The correct answer is D. Document AI .
Document AI is a Snowflake Cortex feature designed to extract information from unstructured documents and make that information usable in structured form, such as rows and columns in Snowflake tables.
Why D is correct:
Document AI processes documents such as PDFs or forms and extracts values from them. The extracted data can then be stored in Snowflake tables for querying, analytics, and downstream processing.
Why the other options are incorrect:
A). Cortex Analyst enables natural language questions over structured data using semantic models. It is not the primary service for extracting data from documents into tables.
B). Cortex Search provides search over text and unstructured/semi-structured data, but it is not the main service for document extraction into tables.
C). Snowflake Copilot assists users with SQL and Snowflake workflows, but it is not the service specifically designed to process documents into table data.
Official Snowflake documentation reference:
Snowflake documentation describes Document AI as a Snowflake Cortex feature that uses AI to extract data from documents and process unstructured data for use in Snowflake.
Reference: Snowflake Documentation - Document AI; Snowflake Documentation - Snowflake Cortex; SnowPro Core Study Guide - Working with Semi-Structured Data and Snowflake Architecture.
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NEW QUESTION # 1013
Which COPY INTO < table > parameter is used to avoid loading a partial dataset?
Answer: D
Explanation:
The correct answer is D. ON_ERROR = ABORT_STATEMENT .
ON_ERROR = ABORT_STATEMENT stops the load operation if an error is encountered. This helps avoid loading only part of a dataset when a file or row error occurs.
Why D is correct:
If the goal is to avoid a partial dataset, the load should fail rather than continue after errors.
ABORT_STATEMENT prevents Snowflake from loading only the valid rows while skipping invalid ones.
Why the other options are incorrect:
A). FORCE = FALSE prevents reloading files that were already loaded, but it does not prevent partial loads caused by data errors.
B). RETURN_FAILED_ONLY affects command output reporting. It does not control whether partial data is loaded.
C). LOAD_UNCERTAIN_FILES = FALSE controls loading files with uncertain load status, but it is not the primary parameter for avoiding partial datasets caused by load errors.
D). ON_ERROR = ABORT_STATEMENT is the correct parameter because it stops the load when an error occurs.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < table > describes ON_ERROR = ABORT_STATEMENT as the option that aborts the load operation when an error is encountered.
Reference: Snowflake Documentation - COPY INTO < table > ; Snowflake Documentation - ON_ERROR copy option; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 1014
What does Snowflake attempt to do if any of the compute resources for a virtual warehouse fail to provision during start-up?
Answer: A
Explanation:
If any compute resources for a virtual warehouse fail to provision during startup, Snowflake will attempt to restart those failed resources. The system is designed to automatically handle transient issues that might occur during the provisioning of compute resources. By restarting the failed resources, Snowflake aims to ensure that the virtual warehouse has the necessary compute capacity to handle the user ' s workloads without manual intervention.
References: Snowflake Documentation on Virtual Warehouses
NEW QUESTION # 1015
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