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Snowflake DEA-C01 Exam Overview:

Certification Vendor:	Snowflake
Exam Name:	SnowPro Advanced: Data Engineer Certification Exam
Exam Number:	DEA-C01
Available Languages:	English
Related Certifications:	SnowPro Core Certification (Recommended Prerequisite)
Exam Format:	Multiple Choice, Multiple Select
Exam Price:	$375 USD
Real Exam Qty:	approximately 50 questions
Certificate Validity Period:	2 years (recertification required)
Passing Score:	~70% (exact passing score not publicly disclosed by Snowflake)
Exam Duration:	90 minutes
Sample Questions:	Snowflake DEA-C01 Sample Questions
Exam Way:	Online proctored exam (via Pearson VUE) or in-person testing center
Pre Condition:	SnowPro Core Certification is strongly recommended before attempting this advanced-level exam. Practical experience with Snowflake data engineering projects is essential.
Official Syllabus URL:	https://www.snowflake.com/certification/

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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	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.
Topic 3	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 4	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 5	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.

Snowflake SnowPro Advanced: Data Engineer Certification Exam Sample Questions (Q250-Q255):

NEW QUESTION # 250
A Data Engineer is trying to load the following rows from a CSV file into a table in Snowflake with the following structure:

....engineer is using the following COPY INTO statement:

However, the following error is received.

Which file format option should be used to resolve the error and successfully load all the data into the table?

A. ESC&PE_UNENGLO9ED_FIELD = '\\'
B. FIELD_DELIMITER = ","
C. ERROR_ON_COLUMN_COUKT_MISMATCH = FALSE
D. FIELD OPTIONALLY ENCLOSED BY = " "

Answer: D

Explanation:
Explanation
The file format option that should be used to resolve the error and successfully load all the data into the table is FIELD_OPTIONALLY_ENCLOSED_BY = '"'. This option specifies that fields in the file may be enclosed by double quotes, which allows for fields that contain commas or newlines within them. For example, in row 3 of the file, there is a field that contains a comma within double quotes: "Smith Jr., John". Without specifying this option, Snowflake will treat this field as two separate fields and cause an error due to column count mismatch. By specifying this option, Snowflake will treat this field as one field and load it correctly into the table.

NEW QUESTION # 251
You are managing an Amazon S3 bucket used by your organization to store critical data files.
Recently, you've noticed that there have been accidental deletions and unintended modifications to important files. To address these issues, you need a strategy to ensure that you can recover previous versions of files and prevent data loss in the future.
Which S3 configuration is most suitable for protecting your data from accidental deletions and modifications while allowing you to recover previous versions of files?

A. Apply object lock with governance mode to prevent deletion or modification of objects.
B. Configure Multi-Factor Authentication (MFA) Delete to add an extra layer of security for deleting objects.
C. Set expiration rules to automatically delete objects after a certain period.
D. Turn on versioning for the bucket to keep multiple versions of objects.

Answer: D

Explanation:
Enabling S3 versioning allows you to preserve, retrieve, and restore every version of every object stored in your S3 bucket. This is the most effective method for protecting against accidental deletions and modifications because it maintains a history of changes, allowing you to recover previous versions of files.
References:
https://docs.aws.amazon.com/AmazonS3/latest/userguide/Versioning.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/lifecycle-expire-object.html
https://docs.aws.amazon.com/AmazonS3/latest/userguide/mpuobject-lifecycle.html

NEW QUESTION # 252
Which connector creates the RECORD_CONTENT and RECORD_METADATA columns in the existing Snowflake table while connecting to Snowflake?

A. Spark Connector
B. Python Connector
C. Node.js connector
D. Kafka Connector

Answer: D

Explanation:
Explanation
Apache Kafka software uses a publish and subscribe model to write and read streams of records, similar to a message queue or enterprise messaging system. Kafka allows processes to read and write messages asynchronously. A subscriber does not need to be connected directly to a publisher; a pub-lisher can queue a message in Kafka for the subscriber to receive later.
An application publishes messages to a topic, and an application subscribes to a topic to receive those messages. Kafka can process, as well as transmit, messages; however, that is outside the scope of this document. Topics can be divided into partitions to increase scalability.
Kafka Connect is a framework for connecting Kafka with external systems, including databases. A Kafka Connect cluster is a separate cluster from the Kafka cluster. The Kafka Connect cluster sup-ports running and scaling out connectors (components that support reading and/or writing between external systems).
The Kafka connector is designed to run in a Kafka Connect cluster to read data from Kafka topics and write the data into Snowflake tables.
Every Snowflake table loaded by the Kafka connector has a schema consisting of two VARIANT columns:
RECORD_CONTENT. This contains the Kafka message.
RECORD_METADATA. This contains metadata about the message, for example, the topic from which the message was read.

NEW QUESTION # 253
A data engineer is troubleshooting an AWS Glue workflow that occasionally fails. The engineer determines that the failures are a result of data quality issues. A business reporting team needs to receive an email notification any time the workflow fails in the future.
Which solution will meet this requirement?

A. Create an Amazon Simple Notification Service (Amazon SNS) FIFO topic. Subscribe the team's email account to the SNS topic. Create an AWS Lambda function that initiates when the AWS Glue job state changes to FAILED. Set the SNS topic as the target.
B. Create an Amazon Simple Queue Service (Amazon SQS) FIFO queue. Subscribe the team's email account to the SQS queue. Create an AWS Config rule that triggers when the AWS Glue job state changes to FAILED. Set the SQS queue as the target.
C. Create an Amazon Simple Notification Service (Amazon SNS) standard topic. Subscribe the team's email account to the SNS topic. Create an Amazon EventBridge rule that triggers when the AWS Glue job state changes to FAILED. Set the SNS topic as the target.
D. Create an Amazon Simple Queue Service (Amazon SQS) standard queue. Subscribe the team's email account to the SQS queue. Create an Amazon EventBridge rule that triggers when the AWS Glue job state changes to FAILED. Set the SQS queue as the target.

Answer: C

Explanation:
Amazon EventBridge can detect AWS Glue job state change events natively. You configure a rule that matches when a job's state transitions to FAILED and set a standard Amazon SNS topic as the target. By subscribing the business reporting team's email addresses to that SNS topic, they'll receive automatic email notifications whenever the workflow fails, with no custom polling or Lambda required.

NEW QUESTION # 254
A company stores customer data that contains personally identifiable information (PII) in an Amazon Redshift cluster. The company's marketing, claims, and analytics teams need to be able to access the customer data.
The marketing team should have access to obfuscated claim information but should have full access to customer contact information. The claims team should have access to customer information for each claim that the team processes. The analytics team should have access only to obfuscated PII data.
Which solution will enforce these data access requirements with the LEAST administrative overhead?

A. Create a separate Redshift cluster for each team. Load only the required data for each team.
Restrict access to clusters based on the teams.
B. Create a separate Amazon Redshift database role for each team. Define masking policies that apply for each team separately. Attach appropriate masking policies to each team role.
C. Create views that include required fields for each of the data requirements. Grant the teams access only to the view that each team requires.
D. Move the customer data to an Amazon S3 bucket. Use AWS Lake Formation to create a data lake. Use fine-grained security capabilities to grant each team appropriate permissions to access the data.

Answer: B

NEW QUESTION # 255
......

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