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| Section | Weight | Objectives |
|---|---|---|
| Snowflake Architecture & Core Concepts | 31% | - Databases, Schemas, Objects, Data Types - Snowsight Interface, Core Platform Features - Cloud Services Layer, Compute Layer, Storage Layer - Virtual Warehouses, Clustering, Caching |
| Account Management & Data Governance | 20% | - Trust Center, Data Lineage, Compliance - Governance: Resource Monitors, Data Masking, Row/Column Security - Access Control: RBAC, DAC, Roles, Privileges - Security: Network Policies, MFA, Encryption |
| Data Loading, Unloading & Connectivity | 18% | - External Integrations, Connectors, SnowSQL - Bulk Load, Streaming, Dynamic Tables - Unloading Data, Export Options - Stages, File Formats, COPY INTO, Snowpipe |
| Data Collaboration & Protection | 10% | - Data Clean Rooms, Collaboration Features - Data Protection, Retention, Time Travel, Fail-safe - Secure Data Sharing, Listings, Marketplace |
| Performance Optimization, Querying & Transformation | 21% | - Query Processing, Profiling, Optimization - Materialized Views, Streams, Tasks, Pipelines - SQL Transformations, Semi-structured/Unstructured Data - Cortex AI, Notebooks, Apache Iceberg Tables |
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NEW QUESTION # 152
Which Snowflake function will parse a JSON-null into a SQL-null?
Answer: B
Explanation:
The STRIP_NULL_VALUE function in Snowflake is used to convert a JSON null value into a SQL NULL value1.
NEW QUESTION # 153
What does Snowflake recommend as a best practice for using secure views?
Answer: A
Explanation:
Snowflake recommends not exposing sequence-generated columns in secure views. Secure views are used to protect sensitive data by ensuring that users can only access data for which they have permissions. Exposing sequence-generated columns can potentially reveal information about the underlying data structure or the number of rows, which might be sensitive.
Create Secure Views: Define secure views using the SECURE keyword to ensure they comply with Snowflake's security policies.
Exclude Sensitive Columns: When creating secure views, exclude columns that might expose sensitive information, such as sequence-generated columns.
CREATE SECURE VIEW secure_view AS
SELECT col1, col2
FROM sensitive_table
WHERE sensitive_column IS NOT NULL;
References:
Snowflake Documentation: Secure Views
Snowflake Documentation: Creating Secure Views
These answers and explanations should provide comprehensive guidance on the specified Snowflake topics.
NEW QUESTION # 154
What effect does WAIT_FOR_COMPLETION = TRUE have when running an ALTER WAREHOUSE command and changing the warehouse size?
Answer: B
Explanation:
The WAIT_FOR_COMPLETION = TRUE parameter in an ALTER WAREHOUSE command ensures that the command does not return until the warehouse has completed resizing. This means that the command will wait until all the necessary compute resources have been provisioned and the warehouse size has been changed. References: [COF-C02] SnowPro Core Certification Exam Study Guide
NEW QUESTION # 155
What does a table with a clustering depth of 1 mean in Snowflake?
Answer: D
Explanation:
In Snowflake, a table's clustering depth indicates the degree of micro-partition overlap based on the clustering keys defined for the table. A clustering depth of 1 implies that the table has no overlapping micro-partitions. This is an optimal scenario, indicating that the table's data is well-clustered according to the specified clustering keys. Well-clustered data can lead to more efficient query performance, as it reduces the amount of data scanned during query execution and improves the effectiveness of data pruning.
References:
Snowflake Documentation on Clustering: Understanding Clustering Depth
NEW QUESTION # 156
Which table type stores a catalog of staged files in cloud storage?
Answer: B
Explanation:
The correct answer is B. Directory table .
A directory table is not a regular user-created table like a permanent, transient, or temporary table. It is an implicit object associated with a stage. It stores file-level metadata about staged files in cloud storage.
Directory tables are useful when users need to query information about files stored in a stage, such as file names, sizes, last modified timestamps, and relative paths.
Why B is correct:
A directory table stores a catalog of staged files in cloud storage. It allows users to query metadata about files in a stage using SQL.
Example concept:
SELECT *
FROM DIRECTORY(@my_stage);
This returns metadata about files stored in the stage.
Why the other options are incorrect:
A). Transient table stores user data but does not store a catalog of staged files.
C). Temporary table stores session-specific user data and disappears at the end of the session.
D). Permanent table stores persistent user data and supports Fail-safe, but it is not specifically used to catalog staged files.
Official Snowflake documentation reference:
Snowflake documentation describes directory tables as objects that store a catalog of staged files in cloud storage. Directory tables are associated with stages and can be queried to retrieve file metadata.
Reference: Snowflake Documentation - Directory tables; Snowflake Documentation - Stages; SnowPro Core Study Guide - Data Loading and Unloading.
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NEW QUESTION # 157
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