SnowPro Advanced: Data Engineer Certification Exam actual exam questions & DEA-C01 valid study dumps & SnowPro Advanced: Data Engineer Certification Exam test practice torrent

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The Snowflake DEA-C01 Certification is one of the most valuable certificates in the modern Snowflake world. This SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) certification exam is designed to validate a candidate's skills and knowledge level. With this DEA-C01 exam everyone whether he is a beginner or seasoned professional can not only validate their expertise but also get solid proof of their skills and knowledge. By doing this you can gain several personal and professional benefits.

Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Related Certifications:	SnowPro Advanced: Security Engineer SnowPro Core SnowPro Advanced: Data Scientist SnowPro Advanced: Administrator SnowPro Advanced: Architect SnowPro Advanced: Data Analyst
Exam Format:	Multiple select, Multiple choice
Real Exam Qty:	65
Passing Score:	750 / 1000
Exam Price:	$375 USD
Available Languages:	Japanese, English
Exam Duration:	115 minutes
Certificate Validity Period:	2 years
Recommended Training:	SnowPro Advanced: Data Engineer Exam Study Guide Snowflake University Training Courses
Exam Registration:	Snowflake Certification Portal Pearson VUE Registration
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored or onsite at Pearson VUE test centers
Pre Condition:	Must hold active SnowPro Core Certification; recommended 2+ years hands-on data engineering experience
Official Syllabus URL:	https://learn.snowflake.com/en/certifications/snowpro-advanced-dataengineer/

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Snowflake DEA-C01 Exam Syllabus Topics:

Topic	Details
Topic 1	Storage and Data Protection: The topic tests the implementation of data recovery features and the understanding of Snowflake's Time Travel and micro-partitions. Engineers are evaluated on their ability to create new environments through cloning and ensure data protection, highlighting essential skills for maintaining Snowflake data integrity and accessibility.
Topic 2	Performance Optimization: This topic assesses the ability to optimize and troubleshoot underperforming queries in Snowflake. Candidates must demonstrate knowledge in configuring optimal solutions, utilizing caching, and monitoring data pipelines. It focuses on ensuring engineers can enhance performance based on specific scenarios, crucial for Snowflake Data Engineers and Software Engineers.
Topic 3	Security: The Security topic of the DEA-C01 test covers the principles of Snowflake security, including the management of system roles and data governance. It measures the ability to secure data and ensure compliance with policies, crucial for maintaining secure data environments for Snowflake Data Engineers and Software Engineers.
Topic 4	Data Transformation: The SnowPro Advanced: Data Engineer exam evaluates skills in using User-Defined Functions (UDFs), external functions, and stored procedures. It assesses the ability to handle semi-structured data and utilize Snowpark for transformations. This section ensures Snowflake engineers can effectively transform data within Snowflake environments, critical for data manipulation tasks.
Topic 5	Data Movement: Snowflake Data Engineers and Software Engineers are assessed on their proficiency to load, ingest, and troubleshoot data in Snowflake. It evaluates skills in building continuous data pipelines, configuring connectors, and designing data sharing solutions.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q28-Q33):

NEW QUESTION # 28
Select the Correct statements with regard to using Federated authentication/SSO?

A. Snowflake supports SSO with Private Connectivity to the Snowflake Service for Snow-flake accounts on Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.
B. Snowflake supports using SSO with organizations, and you can use the corresponding URL in the SAML2 security integration.
C. Snowflake supports multiple audience values (i.e. Audience or Audience Restriction Fields) in the SAML 2.0 assertion from the identity provider to Snowflake.
D. Snowflake supports using MFA in conjunction with SSO to provide additional levels of security.

Answer: A,B,C,D

NEW QUESTION # 29
A data engineer has a one-time task to read data from objects that are in Apache Parquet format in an Amazon S3 bucket. The data engineer needs to query only one column of the data.
Which solution will meet these requirements with the LEAST operational overhead?

A. Run an AWS Glue crawler on the S3 objects. Use a SQL SELECT statement in Amazon Athena to query the required column.
B. Use S3 Select to write a SQL SELECT statement to retrieve the required column from the S3 objects.
C. Configure an AWS Lambda function to load data from the S3 bucket into a pandas dataframe.
Write a SQL SELECT statement on the dataframe to query the required column.
D. Prepare an AWS Glue DataBrew project to consume the S3 objects and to query the required column.

Answer: B

Explanation:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/storage-inventory-athena-query.html S3 Select allows you to retrieve a subset of data from an object stored in S3 using simple SQL expressions. It is capable of working directly with objects in Parquet format.

NEW QUESTION # 30
Which of the following System keeps the following characteristics?
a. It will keep in it all the raw data.
b. Generally, the users of it is data scientists and data developers.
c. Flat architecture
d. Highly agile

A. Data Hub
B. Data Lake
C. Data Warehouse
D. Data Mart

Answer: B

NEW QUESTION # 31
A company runs an Apache Spark application every night in an Amazon EMR cluster. The company uses Amazon EC2 instances to supply compute capacity for the EMR cluster. The company deployed the Spark application in cluster mode.
An error occurs in the Spark application. A log for the error is stored in the application's Spark driver standard error logs. A data engineer needs to investigate the error.
Where can the data engineer find this error log?

A. The engineer can connect to the Amazon EMR console to see the Amazon EMR step logs that are archived in Amazon S3.
B. The engineer can connect to the primary node of the cluster by using SSH to see the Spark history server logs.
C. The engineer can connect to the persistent application UI to see the first YARN container log in the Spark UI.
D. The engineer can connect to the web UI on the live cluster to see the YARN ResourceManager logs.

Answer: A

Explanation:
In EMR cluster mode, the Spark driver runs inside the cluster and its standard error logs are captured as step logs. These logs are automatically archived to Amazon S3 and accessible from the Amazon EMR console under step logs. This is the correct location for investigating Spark driver errors.

NEW QUESTION # 32
A Data Engineer has developed a dashboard that will issue the same SQL select clause to Snowflake every 12 hours.
---will Snowflake use the persisted query results from the result cache provided that the underlying data has not changed

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