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Snowflake SnowPro-Core Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Core Certification Exam
Exam Number:	SnowPro-Core
Exam Duration:	115 minutes
Available Languages:	Japanese, English, Korean
Related Certifications:	SnowPro Advanced: Data Engineer Certification SnowPro Advanced: Data Scientist Certification SnowPro Advanced: Architect Certification SnowPro Advanced: Data Analyst Certification SnowPro Advanced: Administrator Certification
Passing Score:	750/1000
Exam Format:	Multiple Select, Multiple Choice
Real Exam Qty:	100
Certificate Validity Period:	2 years
Exam Price:	USD $175
Sample Questions:	Snowflake SnowPro-Core Sample Questions
Exam Way:	Online Proctored Exam or Pearson VUE Test Center
Pre Condition:	No formal prerequisite is required. Snowflake recommends hands-on experience with Snowflake concepts, SQL, and cloud data platform fundamentals before attempting the exam.
Official Syllabus URL:	https://learn.snowflake.com/en/certifications/snowpro-core

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To prepare for the Snowflake SnowPro-Core Certification Exam, candidates can take advantage of Snowflake's training resources, including online courses, documentation, and hands-on labs. SnowPro-Core exam blueprint is also available online and provides a detailed breakdown of the topics covered in the exam. Candidates should be familiar with Snowflake SQL, data modeling, and data warehouse concepts, as well as have experience working with Snowflake in a production environment.

Snowflake SnowPro Core Certification Exam Sample Questions (Q153-Q158):

NEW QUESTION # 153
A column named "Data" contains VARIANT data and stores values as follows:

How will Snowflake extract the employee's name from the column data?

A. Data:employee.name
B. DATA:employee.name
C. data:employee.name
D. data:Employee.name

Answer: C

Explanation:
In Snowflake, to extract a specific value from a VARIANT column, you use the column name followed by a colon and then the key. The keys are case-sensitive. Therefore, to extract the employee's name from the
"Data" column, the correct syntax is data:employee.name.

NEW QUESTION # 154
Which stream type can be used for tracking the records in external tables?

A. Standard
B. Append-only
C. Insert-only
D. External

Answer: D

Explanation:
The stream type that can be used for tracking the records in external tables is 'External'. This type of stream is specifically designed to track changes in external tables

NEW QUESTION # 155
The following JSON is stored in a VARIANT column called src of the CAR_SALES table:

A user needs to extract the dealership information from the JSON.
How can this be accomplished?

A. select src.dealership from car_sales;
B. select dealership from car_sales;
C. select src:Dealership from car_sales;
D. select src:dealership from car_sales;

Answer: D

NEW QUESTION # 156
Which command can be used to list all the file formats for which a user has access privileges?

A. DESCRIBE FILE FORMAT
B. LIST
C. SHOW FILE FORMATS
D. ALTER FILE FORMAT

Answer: C

Explanation:
The command to list all the file formats for which a user has access privileges in Snowflake is SHOW FILE FORMATS. This command provides a list of all file formats defined in the user's current session or specified database/schema, along with details such as the name, type, and creation time of each file format. It is a valuable tool for users to understand and manage the file formats available for data loading and unloading operations.
References:
* Snowflake Documentation: SHOW FILE FORMATS

NEW QUESTION # 157
Snowflake provides a mechanism for its customers to override its clustering algorithms. This method is:

A. Clustering keys
B. Key partitions
C. Clustered partitions
D. Micro-partitions

Answer: A

NEW QUESTION # 158
......

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