Keith Brooks Keith Brooks's Profile Page

Keith Brooks Keith Brooks

0 Course Enrolled • 0 Course Completed

Biography

100% Pass Quiz Authoritative Data-Engineer-Associate - Certification AWS Certified Data Engineer - Associate (DEA-C01) Dumps

P.S. Free & New Data-Engineer-Associate dumps are available on Google Drive shared by TestKingIT: https://drive.google.com/open?id=11nwq6J15K-c21Z1T7BCIv8aaAH4PXfAx

No matter in China or other company, Amazon has great influence for both enterprise and personal. If you can go through examination with Data-Engineer-Associate latest exam study guide and obtain a certification, there may be many jobs with better salary and benefits waiting for you. Most large companies think a lot of IT professional certification. Data-Engineer-Associate Latest Exam study guide makes your test get twice the result with half the effort and little cost.

To make your job easy, TestKingIT proudly announces that our users can gain a free-of-cost Amazon Data-Engineer-Associate demo of all three available formats for Data-Engineer-Associate Exam Questions. It will allow you to check out the standard of Data-Engineer-Associate Practice Exam material. You will not be disappointed to see the quality of the product.

>> Certification Data-Engineer-Associate Dumps <<

Valid Exam Data-Engineer-Associate Vce Free - Data-Engineer-Associate Valid Test Forum

As the saying goes, to develop study interest requires to giving learner a good key for study, this is promoting learner active development of internal factors. The most function of our Data-Engineer-Associate question torrent is to help our customers develop a good study habits, cultivate interest in learning and make them pass their exam easily and get their Data-Engineer-Associate Certification. All workers of our company are working together, in order to produce a high-quality product for candidates.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q280-Q285):

NEW QUESTION # 280
A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file.
Which Step Functions state should the data engineer use to meet these requirements?

A. Parallel state
B. Choice state
C. Map state
D. Wait state

Answer: C

Explanation:
Option C is the correct answer because the Map state is designed to process a collection of data in parallel by applying the same transformation to each element. The Map state can invoke a nested workflow for each element, which can be another state machine or a Lambda function. The Map state will wait until all the parallel executions are completed before moving to the next state.
Option A is incorrect because the Parallel state is used to execute multiple branches of logic concurrently, not to process a collection of data. The Parallel state can have different branches with different logic and states, whereas the Map state has only one branch that is applied to each element of the collection.
Option B is incorrect because the Choice state is used to make decisions based on a comparison of a value to a set of rules. The Choice state does not process any data or invoke any nested workflows.
Option D is incorrect because the Wait state is used to delay the state machine from continuing for a specified time. The Wait state does not process any data or invoke any nested workflows.
:
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide, Chapter 5: Data Orchestration, Section 5.3: AWS Step Functions, Pages 131-132 Building Batch Data Analytics Solutions on AWS, Module 5: Data Orchestration, Lesson 5.2: AWS Step Functions, Pages 9-10 AWS Documentation Overview, AWS Step Functions Developer Guide, Step Functions Concepts, State Types, Map State, Pages 1-3

NEW QUESTION # 281
A company is designing a serverless data processing workflow in AWS Step Functions that involves multiple steps. The processing workflow ingests data from an external API, transforms the data by using multiple AWS Lambda functions, and loads the transformed data into Amazon DynamoDB.
The company needs the workflow to perform specific steps based on the content of the incoming data.
Which Step Functions state type should the company use to meet this requirement?

A. Parallel
B. Choice
C. Map
D. Task

Answer: B

Explanation:
TheChoicestate type in AWS Step Functions is designed to perform branching logic, i.e., routing execution to different paths based on conditions in the input data.
"The Step FunctionsChoicestate lets you branch the execution flow depending on values in the state's input.
This allows you to run different processing logic based on dynamic conditions like values in the input JSON."
-Ace the AWS Certified Data Engineer - Associate Certification - version 2 - apple.pdf This makesChoicethe correct answer for content-driven conditional workflows.

NEW QUESTION # 282
A company is migrating its database servers from Amazon EC2 instances that run Microsoft SQL Server to Amazon RDS for Microsoft SQL Server DB instances. The company's analytics team must export large data elements every day until the migration is complete. The data elements are the result of SQL joins across multiple tables. The data must be in Apache Parquet format. The analytics team must store the data in Amazon S3.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Create an AWS Lambda function that queries the EC2 instance-based databases by using Java Database Connectivity (JDBC). Configure the Lambda function to retrieve the required data, transform the data into Parquet format, and transfer the data into an S3 bucket. Use Amazon EventBridge to schedule the Lambda function to run every day.
B. Create a view in the EC2 instance-based SQL Server databases that contains the required data elements.
Create an AWS Glue job that selects the data directly from the view and transfers the data in Parquet format to an S3 bucket. Schedule the AWS Glue job to run every day.
C. Use a SQL query to create a view in the EC2 instance-based SQL Server databases that contains the required data elements. Create and run an AWS Glue crawler to read the view. Create an AWS Glue job that retrieves the data and transfers the data in Parquet format to an S3 bucket. Schedule the AWS Glue job to run every day.
D. Schedule SQL Server Agent to run a daily SQL query that selects the desired data elements from the EC2 instance-based SQL Server databases. Configure the query to direct the output .csv objects to an S3 bucket. Create an S3 event that invokes an AWS Lambda function to transform the output format from .csv to Parquet.

Answer: B

Explanation:
Option A is the most operationally efficient way to meet the requirements because it minimizes the number of steps and services involved in the data export process. AWS Glue is a fully managed service that can extract, transform, and load (ETL) data from various sources to various destinations, including Amazon S3. AWS Glue can also convert data to different formats, such as Parquet, which is a columnar storage format that is optimized for analytics. By creating a view in the SQL Server databases that contains the required data elements, the AWS Glue job can select the data directly from the view without having to perform any joins or transformations on the source data. The AWS Glue job can then transfer the data in Parquet format to an S3 bucket and run on a daily schedule.
Option B is not operationally efficient because it involves multiple steps and services to export the data. SQL Server Agent is a tool that can run scheduled tasks on SQL Server databases, such as executing SQL queries.
However, SQL Server Agent cannot directlyexport data to S3, so the query output must be saved as .csv objects on the EC2 instance. Then, an S3 event must be configured to trigger an AWS Lambda function that can transform the .csv objects to Parquet format and upload them to S3. This option adds complexity and latency to the data export process and requires additional resources and configuration.
Option C is not operationally efficient because it introduces an unnecessary step of running an AWS Glue crawler to read the view. An AWS Glue crawler is a service that can scan data sources and create metadata tables in the AWS Glue Data Catalog. The Data Catalog is a central repository that stores information about the data sources, such as schema, format, and location. However, in this scenario, the schema and format of the data elements are already known and fixed, so there is no need to run a crawler to discover them. The AWS Glue job can directly select the data from the view without using the Data Catalog. Running a crawler adds extra time and cost to the data export process.
Option D is not operationally efficient because it requires custom code and configuration to query the databases and transform the data. An AWS Lambda function is a service that can run code in response to events or triggers, such as Amazon EventBridge. Amazon EventBridge is a service that can connect applications and services with event sources, such as schedules, and route them to targets, such as Lambda functions. However, in this scenario, using a Lambda function to query the databases and transform the data is not the best option because it requires writing and maintaining code that uses JDBC to connect to the SQL Server databases, retrieve the required data, convert the data to Parquet format, and transfer the data to S3.
This option also has limitations on the execution time, memory, and concurrency of the Lambda function, which may affect the performance and reliability of the data export process.
:
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide
AWS Glue Documentation
Working with Views in AWS Glue
Converting to Columnar Formats

NEW QUESTION # 283
A company creates a new non-production application that runs on an Amazon EC2 instance. The application needs to communicate with an Amazon RDS database instance using Java Database Connectivity (JDBC).
The EC2 instances and the RDS database instance are in the same subnet.
Which solution will meet this requirement?

A. Modify the IAM role that is assigned to the database instance to allow connections from the EC2 instances.
B. Modify the ec2_authorized_hosts parameter in the RDS parameter group to include the EC2 instances.
Restart the database instance.
C. Update the database security group to allow connections from the EC2 instances.
D. Enable the Amazon RDS Data API and specify the Amazon Resource Name (ARN) of the database instance in the JDBC connection string.

Answer: C

Explanation:
Comprehensive and Detailed Explanation (150-250 words)
Amazon RDS controls network-level access through security groups, which act as virtual firewalls. To allow an EC2 instance to connect to an RDS database using JDBC, the RDS security group must explicitly allow inbound traffic from the EC2 instance or its associated security group on the appropriate database port.
IAM roles do not control network connectivity to RDS databases. The ec2_authorized_hosts parameter does not exist for RDS engines. The Amazon RDS Data API is not supported for standard JDBC connections and is only available for Aurora Serverless v1 and v2.
Updating the RDS security group is the correct and simplest approach. By adding an inbound rule that allows traffic from the EC2 instance's security group, the application can securely connect to the database without additional configuration or restarts.
Therefore, Option C is the correct solution.

NEW QUESTION # 284
A company maintains multiple extract, transform, and load (ETL) workflows that ingest data from the company's operational databases into an Amazon S3 based data lake. The ETL workflows use AWS Glue and Amazon EMR to process data.
The company wants to improve the existing architecture to provide automated orchestration and to require minimal manual effort.
Which solution will meet these requirements with the LEAST operational overhead?

A. AWS Step Functions tasks
B. Amazon Managed Workflows for Apache Airflow (Amazon MWAA) workflows
C. AWS Lambda functions
D. AWS Glue workflows

Answer: D

Explanation:
AWS Glue workflows are a feature of AWS Glue that enable you to create and visualize complex ETL pipelines using AWS Glue components, such as crawlers, jobs, triggers, and development endpoints. AWS Glue workflows provide automated orchestration and require minimal manual effort, as they handle dependency resolution, error handling, state management, and resource allocation for your ETL workflows.
You can use AWS Glue workflows to ingest data from your operational databases into your Amazon S3 based data lake, and then use AWS Glue and Amazon EMR to process the data in the data lake. This solution will meet the requirements with the least operational overhead, as it leverages the serverless and fully managed nature of AWS Glue, and the scalability and flexibility of Amazon EMR12.
The other options are not optimal for the following reasons:
* B. AWS Step Functions tasks. AWS Step Functions is a service that lets you coordinate multiple AWS services into serverless workflows. You can use AWS StepFunctions tasks to invoke AWS Glue and Amazon EMR jobs as part of your ETL workflows, and use AWS Step Functions state machines to define the logic and flow of your workflows. However, this option would require more manual effort than AWS Glue workflows, as you would need to write JSON code to define your state machines, handle errors and retries, and monitor the execution history and status of your workflows3.
* C. AWS Lambda functions. AWS Lambda is a service that lets you run code without provisioning or managing servers. You can use AWS Lambda functions to trigger AWS Glue and Amazon EMR jobs as part of your ETL workflows, and use AWS Lambda event sources and destinations to orchestrate the flow of your workflows. However, this option would also require more manual effort than AWS Glue workflows, as you would need to write code to implement your business logic, handle errors and retries, and monitor the invocation and execution of your Lambda functions. Moreover, AWS Lambda functions have limitations on the execution time, memory, and concurrency, which may affect the performance and scalability of your ETL workflows.
* D. Amazon Managed Workflows for Apache Airflow (Amazon MWAA) workflows. Amazon MWAA is a managed service that makes it easy to run open source Apache Airflow on AWS. Apache Airflow is a popular tool for creating and managing complex ETL pipelines using directed acyclic graphs (DAGs).
You can use Amazon MWAA workflows to orchestrate AWS Glue and Amazon EMR jobs as part of your ETL workflows, and use the Airflow web interface to visualize and monitor your workflows.
However, this option would have more operational overhead than AWS Glue workflows, as you would need to set up and configure your Amazon MWAA environment, write Python code to define your DAGs, and manage the dependencies and versions of your Airflow plugins and operators.
:
1: AWS Glue Workflows
2: AWS Glue and Amazon EMR
3: AWS Step Functions
4: AWS Lambda
5: Amazon Managed Workflows for Apache Airflow

NEW QUESTION # 285
......

The Practice Exam software is specially made for the students so they can feel real-based examination scenarios and feel some pressure on their brains and don't feel excessive issues while giving the final Amazon exam. There are a lot of customers that are currently using AWS Certified Data Engineer - Associate (DEA-C01) (Data-Engineer-Associate) and are satisfied with it. TestKingIT has designed this product after getting positive feedback from professionals and is rated one of the best study materials for the preparation of the Amazon Data-Engineer-Associate exam.

Valid Exam Data-Engineer-Associate Vce Free: https://www.testkingit.com/Amazon/latest-Data-Engineer-Associate-exam-dumps.html

Amazon Certification Data-Engineer-Associate Dumps The education level of the country has been continuously improved, We update our pdf questions collection regularly to match the updates of the Amazon Data-Engineer-Associate real exam, Amazon Certification Data-Engineer-Associate Dumps These people want to help more ambitious men achieve their elite dream, Amazon Certification Data-Engineer-Associate Dumps Therefore, you just need to spend 48 to 72 hours on training, you can pass the exam.

The green-screen calculations are performed in a small program called Data-Engineer-Associate a fragment shader, These are documented for completeness and to provide information that will aid in debugging these common problems.

HOT Certification Data-Engineer-Associate Dumps - High Pass-Rate Amazon AWS Certified Data Engineer - Associate (DEA-C01) - Valid Exam Data-Engineer-Associate Vce Free

The education level of the country has been continuously improved, We update our pdf questions collection regularly to match the updates of the Amazon Data-Engineer-Associate Real Exam.

These people want to help more ambitious men achieve Valid Exam Data-Engineer-Associate Vce Free their elite dream, Therefore, you just need to spend 48 to 72 hours on training, you can pass the exam, Audio Guides - convenient MP3 Valid Exam Data-Engineer-Associate Vce Free files can be downloaded on any device for efficient learning when you don't have much time.

BTW, DOWNLOAD part of TestKingIT Data-Engineer-Associate dumps from Cloud Storage: https://drive.google.com/open?id=11nwq6J15K-c21Z1T7BCIv8aaAH4PXfAx