Free PDF Quiz DEA-C01 - SnowPro Advanced: Data Engineer Certification Exam–High-quality Exam Tutorial

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The SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) certification is a valuable credential that every Snowflake professional should earn it. The DEA-C01 certification exam offers a great opportunity for beginners and experienced professionals to demonstrate their expertise. With the SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) certification exam everyone can upgrade their skills and knowledge. There are other several benefits that the Snowflake DEA-C01 exam holders can achieve after the success of the SnowPro Advanced: Data Engineer Certification Exam (DEA-C01) certification exam.

Snowflake DEA-C01 Exam Overview:

Certification Vendor:Snowflake
Exam Name:SnowPro Advanced: Data Engineer Certification Exam
Exam Number:DEA-C01
Passing Score:Not publicly disclosed (Snowflake uses scaled scoring)
Certificate Validity Period:2 years
Exam Price:$375 USD
Available Languages:English
Related Certifications:SnowPro Core Certification
Real Exam Qty:Approximately 65 questions
Exam Format:Scenario-based questions, Multiple choice, Multiple select
Exam Duration:115 minutes
Recommended Training:SnowPro Advanced Data Engineer Exam Guide
Snowflake University Training
Exam Registration:Snowflake Certification Portal
Sample Questions:Snowflake DEA-C01 Sample Questions
Exam Way:Online proctored or authorized testing center
Pre Condition:Recommended: SnowPro Core Certification or equivalent Snowflake experience
Official Syllabus URL:https://www.snowflake.com/certifications/snowpro-advanced-data-engineer/

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DEA-C01 Pass Test Guide | DEA-C01 Updated Demo

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Snowflake DEA-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 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
  • 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 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 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 (Q248-Q253):

NEW QUESTION # 248
A data engineer develops an AWS Glue Apache Spark ETL job to perform transformations on a dataset. When the data engineer runs the job, the job returns an error that reads, "No space left on device." The data engineer needs to identify the source of the error and provide a solution.
Which combinations of steps will meet this requirement MOST cost-effectively? (Choose two.)

Answer: D,E

Explanation:
Use the Spark UI and AWS Glueexposed Spark metrics to pinpoint where partitions are disproportionately large (data skew) and where spill files are filling executor disk.
Enable the --write-shuffle-files-to-s3 job parameter so shuffle spills go to S3 instead of running out of local disk, and apply a salting technique on skewed keys to spread data more evenly across partitions.


NEW QUESTION # 249
A company is developing an application that runs on Amazon EC2 instances. Currently, the data that the application generates is temporary. However, the company needs to persist the data, even if the EC2 instances are terminated.
A data engineer must launch new EC2 instances from an Amazon Machine Image (AMI) and configure the instances to preserve the data.
Which solution will meet this requirement?

Answer: B

Explanation:
Amazon EBS volumes are network-attached, and they persist independently of the life of an EC2 instance. By using an AMI backed by an Amazon EBS volume, the root device for the instance is an EBS volume, which means the data will persist.


NEW QUESTION # 250
An ecommerce company operates a complex order fulfilment process that spans several operational systems hosted in AWS. Each of the operational systems has a Java Database Connectivity (JDBC)-compliant relational database where the latest processing state is captured.
The company needs to give an operations team the ability to track orders on an hourly basis across the entire fulfillment process.
Which solution will meet these requirements with the LEAST development overhead?

Answer: C


NEW QUESTION # 251
A database contains a table and a stored procedure defined as.

No other operations are affecting the log_table.
What will be the outcome of the procedure call?

Answer: D

Explanation:
Explanation
The stored procedure is defined with a FLOAT return type and a JavaScript language. The body of the stored procedure contains a SQL statement that inserts a row into the log_table with a value of '1' for col1. The body also contains a return statement that returns 1 as a float value. When the stored procedure is called with any VARCHAR parameter, it will execute successfully and insert one record into the log_table and return 1 as a return value. The other options are not correct because:
The log_table will not be empty after the stored procedure call, as it will contain one record inserted by the SQL statement.
The stored procedure will not return NULL as a return value, as it has an explicit return statement that returns 1.


NEW QUESTION # 252
A data engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs that run on AWS. The ETL jobs contain tasks that must run Apache Spark jobs on Amazon EMR, make API calls to Salesforce, and load data into Amazon Redshift.
The ETL jobs need to handle failures and retries automatically. The data engineer needs to use Python to orchestrate the jobs.
Which service will meet these requirements?

Answer: A

Explanation:
Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a fully managed service that makes it easy to run Apache Airflow at scale. Airflow is a popular tool for orchestrating complex workflows, including ETL jobs, and can handle various task types such as running Apache Spark jobs on Amazon EMR, making API calls to external systems like Salesforce, and loading data into Amazon Redshift. Airflow allows you to define workflows using Python and offers built-in mechanisms for handling failures, retries, and retries automatically, making it a great fit for this use case.
While AWS Step Functions can orchestrate workflows and handle retries and errors, it is less suited for Python-based orchestration compared to Airflow. Also, Step Functions is more suited for AWS services and does not offer built-in support for external systems like Salesforce, which would require custom integrations.
AWS Glue is a serverless ETL service, but it primarily focuses on data transformation tasks. Glue does not handle orchestration of complex workflows involving non-Glue jobs, such as calling Salesforce APIs or running Spark jobs on EMR, as effectively as Airflow.
EventBridge is an event-driven service, not an orchestration service. It is designed for event- based workflows but does not offer the workflow orchestration capabilities needed for handling tasks like retries, error handling, and running complex workflows across different systems.


NEW QUESTION # 253
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