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| Section | Weight | Objectives |
|---|---|---|
| Performance Optimization & Monitoring | 4% | - Query profiling and performance tuning - Resource optimization techniques - Query history and monitoring |
| Security & Access Control | 10% | - Authorization (roles, privileges) - Masking policies - Row-level and column-level security - Authentication (SSO, MFA) - Governance best practices |
| Semi-Structured Data | 10% | - Parsing and flattening semi-structured data - VARIANT data type - Array and object operations |
| Data Sharing | 12% | - Private sharing vs. Data Exchange - Shares and reader accounts - Data listing marketplace - Reader account management |
| Time Travel & Cloning | 10% | - Zero-copy cloning - Time travel concepts and retention - Fail-safe concepts - UNDROP and historical data access |
| Data Loading & Unloading | 15% | - File formats (JSON, CSV, Parquet, AVRO) - Continuous loading with Snowpipe - Data ingestion best practices - Data unloading and staging - Bulk loading with COPY command |
| Databases, Tables & Views | 18% | - Column types and sequences - Table types (permanent, transient, temporary) - Clustering and micro-partitions - Views (standard, materialized, secure) - Stored procedures and UDFs - Data manipulation (DML operations) |
| Cloud Platform Overview & Snowflake Key Concepts | 8% | - Snowflake editions and features - Snowflake architecture layers (storage, compute, services) - Virtual warehouse concepts and credit usage |
| Account Objects | 8% | - Resource monitors - Organizations and accounts structure - Warehouses, databases, and schemas hierarchy |
| Virtual Warehouses | 15% | - Warehouse sizing and scaling - Multi-cluster warehouses - Warehouse creation and configuration - Warehouse monitoring and troubleshooting - Cache concepts (warehouse, result, metadata) |
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NEW QUESTION # 961
A Snowflake user is writing a User-Defined Function (UDF) that includes some unqualified object names.
How will those object names be resolved during execution?
Answer: C
Explanation:
Object Name Resolution: When unqualified object names (e.g., table name without schema) are used in a UDF, Snowflake follows a specific hierarchy to resolve them. Here's the order:
Current Schema:Snowflake first checks if an object with the given name exists in the schema currently in use for the session.
PUBLIC Schema:If the object isn't found in the current schema, Snowflake looks in the PUBLIC schema of the current database.
Note: The SEARCH_PATH parameter influences object resolution for queries, not within UDFs.
References:
Snowflake Documentation (Object Naming Resolution):https://docs.snowflake.com/en/sql-reference/name-resolution.html
NEW QUESTION # 962
What privilege is required to view the load statistics on a virtual warehouse?
Answer: B
NEW QUESTION # 963
How does Snowflake allow a data provider with an Azure account in central Canada to share data with a data consumer on AWS in Australia?
Answer: C
Explanation:
Snowflake allows data providers to share data with consumers across different cloud platforms and regions through database replication. The data provider must replicate the database to a secondary account in the target region or cloud platform within the same organization, and then create a share to the data consumer's account.This process ensures that the data is available in the consumer's region and on their cloud platform, facilitating seamless data sharing. References: Sharing data securely across regions and cloud platforms | Snowflake Documentation
NEW QUESTION # 964
Which table type stores a catalog of staged files in cloud storage?
Answer: C
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.
==
NEW QUESTION # 965
Which command sets the Virtual Warehouse for a session?
Answer: C
Explanation:
The command USE WAREHOUSE <<warehouse name>>;is used to set the virtual warehouse for the current session in Snowflake.This command specifies which virtual warehouse to use for executing queries in that session1.
NEW QUESTION # 966
......
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