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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Account Management & Data Governance | 20% | - Trust Center, Data Lineage, Compliance - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Governance: Resource Monitors, Data Masking, Row/Column Security |
| Topic 2: Data Loading, Unloading & Connectivity | 18% | - Unloading Data, Export Options - External Integrations, Connectors, SnowSQL - Stages, File Formats, COPY INTO, Snowpipe - Bulk Load, Streaming, Dynamic Tables |
| Topic 3: Data Collaboration & Protection | 10% | - Secure Data Sharing, Listings, Marketplace - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe |
| Topic 4: Snowflake Architecture & Core Concepts | 31% | - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Databases, Schemas, Objects, Data Types - Virtual Warehouses, Clustering, Caching |
| Topic 5: Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - SQL Transformations, Semi-structured/Unstructured Data - Materialized Views, Streams, Tasks, Pipelines - Cortex AI, Notebooks, Apache Iceberg Tables |
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NEW QUESTION # 838
In the Data Exchange, who can get or request data from the listings? (Select TWO).
Answer: A,B
Explanation:
In the Snowflake Data Exchange, the ability to get or request data from listings is generally controlled by specific roles and privileges:
A . Users with ACCOUNTADMIN role: This role typically has the highest level of access within a Snowflake account, including the ability to manage and access all features and functions. Users with this role can access data listings within the Data Exchange.
D . Users with import share privilege: This specific privilege is necessary for users who need to import shared data from the Data Exchange. This privilege allows them to request and access data listings explicitly shared with them.
NEW QUESTION # 839
Which object or feature can be used to monitor access to shared data?
Answer: C
NEW QUESTION # 840
A user needs to know this information about an object:
1. Who accessed the data?
2. When was the data accessed?
3. What columns were accessed?
Which ACCOUNT_USAGE schema view should be used?
Answer: B
NEW QUESTION # 841
What is the recommended use for the COPY INTO < location > SINGLE = TRUE command?
Answer: D
Explanation:
The correct answer is D. To unload a single file from a table into a stage .
The COPY INTO < location > command is used to unload data from Snowflake to a stage. When the SINGLE = TRUE option is included, Snowflake attempts to unload the query or table result into a single output file instead of multiple files.
Why D is correct:
SINGLE = TRUE is specifically an unload option for COPY INTO < location > . It is useful when a downstream process expects one output file.
Example:
COPY INTO @my_stage/export/customers.csv
FROM customers
FILE_FORMAT = (TYPE = CSV)
SINGLE = TRUE;
Why the other options are incorrect:
A). Preventing duplicate loads is handled by Snowflake load metadata and the FORCE option, not SINGLE = TRUE.
B). Loading an individual file is done with COPY INTO < table > and a file path or the FILES option, not COPY INTO < location > SINGLE = TRUE.
C). "Parse the results into single stages" is not a Snowflake unload concept.
Official Snowflake documentation reference:
Snowflake documentation for COPY INTO < location > describes SINGLE as the option that specifies whether to generate a single file or multiple files when unloading data.
Reference: Snowflake Documentation - COPY INTO < location > ; Snowflake Documentation - Unloading data from Snowflake; SnowPro Core Study Guide - Data Loading and Unloading.
==
NEW QUESTION # 842
When regularly unloading similarly formatted semi-structured data, where should copy options be specified?
Answer: A
Explanation:
The correct answer is B. In a named file format .
When data is regularly loaded or unloaded using the same format settings, Snowflake recommends defining those settings in a named file format. This avoids repeating the same file format options in every COPY command and reduces operational overhead.
Why B is correct:
A named file format stores reusable format options, such as file type and formatting behavior. For semi- structured data, named file formats can define options for formats such as JSON, Avro, ORC, Parquet, or XML.
Example:
CREATE FILE FORMAT my_json_format
TYPE = JSON
COMPRESSION = AUTO;
COPY INTO @my_stage/output/
FROM my_table
FILE_FORMAT = my_json_format;
Why the other options are incorrect:
A). A table definition defines table columns and properties, not unload formatting options.
C). A named stage can include a file format reference, but the reusable copy/file parsing settings themselves are defined in a named file format.
D). Copy options can be specified directly in the COPY command, but that is less efficient for repeated, similarly formatted unload operations.
Official Snowflake documentation reference:
Snowflake documentation explains that named file formats are reusable database objects that define format options for loading and unloading data.
Reference: Snowflake Documentation - CREATE FILE FORMAT; Snowflake Documentation - Data unloading; Snowflake Documentation - COPY INTO < location > ; SnowPro Core Study Guide - Data Loading and Unloading.
NEW QUESTION # 843
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