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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Performance Optimization, Querying & Transformation | 21% | - Cortex AI, Notebooks, Apache Iceberg Tables - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines - SQL Transformations, Semi-structured/Unstructured Data |
| 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: Snowflake Architecture & Core Concepts | 31% | - Cloud Services Layer, Compute Layer, Storage Layer - Snowsight Interface, Core Platform Features - Virtual Warehouses, Clustering, Caching - Databases, Schemas, Objects, Data Types |
| Topic 4: Data Loading, Unloading & Connectivity | 18% | - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Stages, File Formats, COPY INTO, Snowpipe - Unloading Data, Export Options |
| Topic 5: Account Management & Data Governance | 20% | - Security: Network Policies, MFA, Encryption - Access Control: RBAC, DAC, Roles, Privileges - Trust Center, Data Lineage, Compliance - Governance: Resource Monitors, Data Masking, Row/Column Security |
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NEW QUESTION # 1160
What information is stored in the ACCESS_HlSTORY view?
Answer: A
Explanation:
Details around the privileges that have been granted for all objects in an account.
TheACCESS_HISTORYview in Snowflake provides a comprehensive log of access control changes, including grants and revocations of privileges on all securable objects within the account. This information is crucial for auditing and monitoring the security posture of your Snowflake environment.
Here ' s how to understand and use theACCESS_HISTORYview:
Purpose of ACCESS_HISTORY View:It is designed to track changes in access controls, such as when a user or role is granted or revoked privileges on various Snowflake objects. This includes tables, schemas, databases, and more.
Querying ACCESS_HISTORY:To access this view, you can use the following SQL query pattern:
SELECT*FROMSNOWFLAKE.ACCOUNT_USAGE.ACCESS_HISTORYWHEREEVENT_TYPE = '
GRANT ' OREVENT_TYPE = ' REVOKE ' ;
Interpreting the Results:The results from theACCESS_HISTORYview include the object type, the specific privilege granted or revoked, the grantee (who received or lost the privilege), and the timestamp of the event.
This data is invaluable for audits and compliance checks.
Reference:For detailed information on theACCESS_HISTORYview and how to interpret its data, please visit the official Snowflake documentation: https://docs.snowflake.com/en/sql-reference/account-usage
/access_history.html
NEW QUESTION # 1161
By default, which Snowflake role is required to create a share?
Answer: B
Explanation:
By default, the Snowflake role required to create a share is ACCOUNTADMIN (D).This role has the necessary privileges to perform administrative tasks, including creating shares for data sharing purposes
NEW QUESTION # 1162
Which privilege is required to access a virtual warehouse load chart?
Answer: B
NEW QUESTION # 1163
Which service or tool is a Command Line Interface (CLI) client used for connecting to Snowflake to execute SQL queries?
Answer: A
Explanation:
SnowSQL is the Command Line Interface (CLI) client provided by Snowflake for executing SQL queries and performing various tasks. It allows users to connect to their Snowflake accounts and interact with the Snowflake data warehouse.
Installation: SnowSQL can be downloaded and installed on various operating systems.
Configuration: Users need to configure SnowSQL with their Snowflake account credentials.
Usage: Once configured, users can run SQL queries, manage data, and perform administrative tasks through the CLI.
References:
Snowflake Documentation: SnowSQL
Snowflake Documentation: Installing SnowSQL
NEW QUESTION # 1164
Which option can be used to define column data types when unloading data into Parquet-formatted files?
Answer: B
Explanation:
COPY INTO < location > can unload the result of a SELECT query rather than exporting a table directly. Expressions in that SELECT query can use CAST or the :: operator to convert columns to the data types required in the generated Parquet file. For example, a numeric expression can be cast to a specific NUMBER type before it is written. BINARY_AS_TEXT controls how binary values are represented, EMPTY_FIELD_AS_NULL affects the treatment of empty fields in applicable formats, and SINGLE controls whether Snowflake generates one output file or multiple files. None of those options generally defines the data type of an output column. Snowflake advises confirming that every source value fits the target type because casting to an insufficient size can truncate values.
NEW QUESTION # 1165
......
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