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Snowflake SnowPro-Core Exam Syllabus Topics:

Section	Weight	Objectives
Snowflake AI Data Cloud Architecture & Features	25%	- Structured, semi-structured, and unstructured data support - Virtual warehouses and scaling - Micro-partitions, clustering, and caching - Three-layer architecture (Storage, Compute, Cloud Services) - Snowflake editions and cloud platform support
Data Transformations	20%	- Dynamic tables and data pipelines - Cloning, Time Travel, and Fail-safe - Working with semi-structured data - SQL and DDL/DML operations
Data Protection and Sharing	10%	- Reader accounts and data clean rooms - Data retention and recovery - Snowflake Marketplace - Secure data sharing
Performance Concepts	15%	- Cost management and monitoring - Search optimization service - Warehouse sizing and concurrency - Query optimization and profiling
Account Access and Security	20%	- Privileges, grants, and ownership - Authentication and network policies - Encryption and data protection - Account management and monitoring - Role-Based Access Control (RBAC)
Data Loading and Unloading	10%	- Data unloading and export - File formats and stages - Continuous loading (Snowpipe) - Bulk loading methods

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Snowflake SnowPro Core Certification Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
When a Snowflake user loads CSV data from a stage, which copy into <table> command guideline should they follow?

A. The data file must have the same number of columns as the target table.
B. The CSV field delimiter must be a comma character (*,"),
C. The data file in the stage must be in a compressed format.
D. The number of columns in each row should be consistent.

Answer: D

Explanation:
When using the COPY INTO <table> command to load CSV data from a stage into a Snowflake table, one of the crucial guidelines to follow is that the number of columns in each row within the CSV file should be consistent. This ensures data integrity and allows for a smooth data loading process, as Snowflake expects each row in the CSV file to map directly to a row in the target table based on the number of columns. If there's a mismatch in the number of columns between any row in the file and the target table, Snowflake might return an error or produce unexpected results during the load operation.
It's important to note that while the CSV field delimiter can be specified to something other than a comma, ensuring the consistency in the number of columns across all rows is fundamental to successfully loading data.
References:
* Snowflake Documentation on Loading Data: Loading CSV Data

NEW QUESTION # 51
During periods of warehouse contention which parameter controls the maximum length of time a warehouse will hold a query for processing?

A. QUERY_TIMEOUT_IN_SECONDS
B. STATEMENT_QUEUED_TIMEOUT_IN_SECONDS
C. MAX_CONCURRENCY__LEVEL
D. STATEMENT_TIMEOUT__IN__SECONDS

Answer: B

Explanation:
Explanation
The parameter STATEMENT_QUEUED_TIMEOUT_IN_SECONDS sets the limit for a query to wait in the queue in order to get its chance of running on the warehouse. The query will quit after reaching this limit.
By default, the value of this parameter is 0 which mean the queries will wait indefinitely in the waiting queue
https://community.snowflake.com/s/article/Warehouse-Concurrency-and-Statement-Timeout-Parameters#:~:text

NEW QUESTION # 52
What statistical information in a Query Profile indicates that the query is too large to fit in memory? (Select TWO).

A. Bytes spilled to remote storage.
B. Bytes spilled to local storage.
C. Bytes spilled to remote cache.
D. Bytes spilled to local cache.
E. Bytes spilled to remote metastore.

Answer: A,B

NEW QUESTION # 53
The Query History in the Snowflake Web Interface (UI) is kept for approximately:

A. 30 days
B. 24 hours
C. 1 year
D. 14 days
E. 60 minutes

Answer: D

NEW QUESTION # 54
Which of the following statements are true of Snowflake releases: (Choose two.)

A. They roll up and release approximately monthly, but customers can request early release application
B. They happen approximately weekly
C. A customer is assigned a 30 minute window (that can be moved anytime within a week) during which the system will be unavailable and customer is upgraded
D. During a release, new customer requests/queries/connections transparently move over to the newer version

Answer: B,D

Explanation:
Explanation
https://docs.snowflake.com/en/user-guide/intro-releases.html

NEW QUESTION # 55
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