Amazon Data-Engineer-Associate Valid Dumps Ppt, Real Data-Engineer-Associate Testing Environment

Rated:

, 0 Comments

Total visits: 3

Posted on: 02/11/25

P.S. Free & New Data-Engineer-Associate dumps are available on Google Drive shared by UpdateDumps: https://drive.google.com/open?id=1xThbTxUjcnoTlrqLJ24e3X0iMSaEyrm6

Do you have the plan to accept this challenge? Looking for a proven and quick method to pass this challenge Amazon Data-Engineer-Associate exam? If your answer is yes then you do not need to go anywhere. Just visit the UpdateDumps and explore the top features of valid, updated, and real Amazon Data-Engineer-Associate Dumps.

Our Data-Engineer-Associate exam pdf are regularly updated and tested according to the changes in the pattern of exam and latest exam information. There are free Data-Engineer-Associate dumps demo in our website for you to check the quality and standard of our braindumps. We believe that our Data-Engineer-Associate Pass Guide will be of your best partner in your exam preparation and of the guarantee of high passing score.

>> Amazon Data-Engineer-Associate Valid Dumps Ppt <<

Formats of UpdateDumps Updated Data-Engineer-Associate Exam Practice Questions

In order to meet the requirements of our customers, Our Data-Engineer-Associate test questions carefully designed the automatic correcting system for customers. It is known to us that practicing the incorrect questions is very important for everyone, so our Data-Engineer-Associate exam question provide the automatic correcting system to help customers understand and correct the errors. If you want to improve your correct rates of exam, we believe the best method is inscribed according to the fault namely this in appearing weak sports, specific aim ground consolidates knowledge is nodded. Our Data-Engineer-Associate Guide Torrent will help you establish the error sets. We believe that it must be very useful for you to take your exam, and it is necessary for you to use our Data-Engineer-Associate test questions.

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q134-Q139):

NEW QUESTION # 134
A company has a frontend ReactJS website that uses Amazon API Gateway to invoke REST APIs. The APIs perform the functionality of the website. A data engineer needs to write a Python script that can be occasionally invoked through API Gateway. The code must return results to API Gateway.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an AWS Lambda Python function with provisioned concurrency.
B. Deploy a custom Python script that can integrate with API Gateway on Amazon Elastic Kubernetes Service (Amazon EKS).
C. Create an AWS Lambda function. Ensure that the function is warm by scheduling an Amazon EventBridge rule to invoke the Lambda function every 5 minutes by using mock events.
D. Deploy a custom Python script on an Amazon Elastic Container Service (Amazon ECS) cluster.

Answer: A

Explanation:
AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers. You can use Lambda to create functions that perform custom logic and integrate with other AWS services, such as API Gateway. Lambda automatically scales your application by running code in response to each trigger. You pay only for the compute time you consume1.
Amazon ECS is a fully managed container orchestration service that allows you to run and scale containerized applications on AWS. You can use ECS to deploy, manage, and scale Docker containers using either Amazon EC2 instances or AWS Fargate, a serverless compute engine for containers2.
Amazon EKS is a fully managed Kubernetes service that allows you to run Kubernetes clusters on AWS without needing to install, operate, or maintain your own Kubernetes control plane. You can use EKS to deploy, manage, and scale containerized applications using Kubernetes on AWS3.
The solution that meets the requirements with the least operational overhead is to create an AWS Lambda Python function with provisioned concurrency. This solution has the following advantages:
It does not require you to provision, manage, or scale any servers or clusters, as Lambda handles all the infrastructure for you. This reduces the operational complexity and cost of running your code.
It allows you to write your Python script as a Lambda function and integrate it with API Gateway using a simple configuration. API Gateway can invoke your Lambda function synchronously or asynchronously, and return the results to the frontend website.
It ensures that your Lambda function is ready to respond to API requests without any cold start delays, by using provisioned concurrency. Provisioned concurrency is a feature that keeps your function initialized and hyper-ready to respond in double-digit milliseconds. You can specify the number of concurrent executions that you want to provision for your function.
Option A is incorrect because it requires you to deploy a custom Python script on an Amazon ECS cluster. This solution has the following disadvantages:
It requires you to provision, manage, and scale your own ECS cluster, either using EC2 instances or Fargate. This increases the operational complexity and cost of running your code.
It requires you to package your Python script as a Docker container image and store it in a container registry, such as Amazon ECR or Docker Hub. This adds an extra step to your deployment process.
It requires you to configure your ECS cluster to integrate with API Gateway, either using an Application Load Balancer or a Network Load Balancer. This adds another layer of complexity to your architecture.
Option C is incorrect because it requires you to deploy a custom Python script that can integrate with API Gateway on Amazon EKS. This solution has the following disadvantages:
It requires you to provision, manage, and scale your own EKS cluster, either using EC2 instances or Fargate. This increases the operational complexity and cost of running your code.
It requires you to package your Python script as a Docker container image and store it in a container registry, such as Amazon ECR or Docker Hub. This adds an extra step to your deployment process.
It requires you to configure your EKS cluster to integrate with API Gateway, either using an Application Load Balancer, a Network Load Balancer, or a service of type LoadBalancer. This adds another layer of complexity to your architecture.
Option D is incorrect because it requires you to create an AWS Lambda function and ensure that the function is warm by scheduling an Amazon EventBridge rule to invoke the Lambda function every 5 minutes by using mock events. This solution has the following disadvantages:
It does not guarantee that your Lambda function will always be warm, as Lambda may scale down your function if it does not receive any requests for a long period of time. This may cause cold start delays when your function is invoked by API Gateway.
It incurs unnecessary costs, as you pay for the compute time of your Lambda function every time it is invoked by the EventBridge rule, even if it does not perform any useful work1.
Reference:
1: AWS Lambda - Features
2: Amazon Elastic Container Service - Features
3: Amazon Elastic Kubernetes Service - Features
[4]: Building API Gateway REST API with Lambda integration - Amazon API Gateway
[5]: Improving latency with Provisioned Concurrency - AWS Lambda
[6]: Integrating Amazon ECS with Amazon API Gateway - Amazon Elastic Container Service
[7]: Integrating Amazon EKS with Amazon API Gateway - Amazon Elastic Kubernetes Service
[8]: Managing concurrency for a Lambda function - AWS Lambda

NEW QUESTION # 135
A data engineer is launching an Amazon EMR duster. The data that the data engineer needs to load into the new cluster is currently in an Amazon S3 bucket. The data engineer needs to ensure that data is encrypted both at rest and in transit.
The data that is in the S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The data engineer has an Amazon S3 path that has a Privacy Enhanced Mail (PEM) file.
Which solution will meet these requirements?

A. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.
B. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for local disk encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.
C. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach the security configuration to the cluster.
D. Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Create a second security configuration. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach both security configurations to the cluster.

Answer: A

Explanation:
The data engineer needs to ensure that the data in an Amazon EMR cluster is encrypted both at rest and in transit. The data in Amazon S3 is already encrypted using an AWS KMS key. To meet the requirements, the most suitable solution is to create an EMR security configuration that specifies the correct KMS key for at-rest encryption and use the PEM file for in-transit encryption.
Option C: Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.
This option configures encryption for both data at rest (using KMS keys) and data in transit (using the PEM file for SSL/TLS encryption). This approach ensures that data is fully protected during storage and transfer.
Options A, B, and D either involve creating unnecessary additional security configurations or make inaccurate assumptions about the way encryption configurations are attached.
Reference:
Amazon EMR Security Configuration
Amazon S3 Encryption

NEW QUESTION # 136
A company wants to implement real-time analytics capabilities. The company wants to use Amazon Kinesis Data Streams and Amazon Redshift to ingest and process streaming data at the rate of several gigabytes per second. The company wants to derive near real-time insights by using existing business intelligence (BI) and analytics tools.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create an external schema in Amazon Redshift to map the data from Kinesis Data Streams to an Amazon Redshift object. Create a materialized view to read data from the stream. Set the materialized view to auto refresh.
B. Use Kinesis Data Streams to stage data in Amazon S3. Use the COPY command to load data from Amazon S3 directly into Amazon Redshift to make the data immediately available for real-time analysis.
C. Access the data from Kinesis Data Streams by using SQL queries. Create materialized views directly on top of the stream. Refresh the materialized views regularly to query the most recent stream data.
D. Connect Kinesis Data Streams to Amazon Kinesis Data Firehose. Use Kinesis Data Firehose to stage the data in Amazon S3. Use the COPY command to load the data from Amazon S3 to a table in Amazon Redshift.

Answer: A

Explanation:
This solution meets the requirements of implementing real-time analytics capabilities with the least operational overhead. By creating an external schema in Amazon Redshift, you can access the data from Kinesis Data Streams using SQL queries without having to load the data into the cluster. By creating a materialized view on top of the stream, you can store the results of the query in the cluster and make them available for analysis. By setting the materialized view to auto refresh, you can ensure that the view is updated with the latest data from the stream at regular intervals. This way, you can derive near real-time insights by using existing BI and analytics tools. References:
Amazon Redshift streaming ingestion
Creating an external schema for Amazon Kinesis Data Streams
Creating a materialized view for Amazon Kinesis Data Streams

NEW QUESTION # 137
A data engineer needs to maintain a central metadata repository that users access through Amazon EMR and Amazon Athena queries. The repository needs to provide the schema and properties of many tables. Some of the metadata is stored in Apache Hive. The data engineer needs to import the metadata from Hive into the central metadata repository.
Which solution will meet these requirements with the LEAST development effort?

A. Use a metastore on an Amazon RDS for MySQL DB instance.
B. Use a Hive metastore on an EMR cluster.
C. Use the AWS Glue Data Catalog.
D. Use Amazon EMR and Apache Ranger.

Answer: C

Explanation:
The AWS Glue Data Catalog is an Apache Hive metastore-compatible catalog that provides a central metadata repository for various data sources and formats. You can use the AWS Glue Data Catalog as an external Hive metastore for Amazon EMR and Amazon Athena queries, and import metadata from existing Hive metastores into the Data Catalog. This solution requires the least development effort, as you can use AWS Glue crawlers to automatically discover and catalog the metadata from Hive, and use the AWS Glue console, AWS CLI, or Amazon EMR API to configure the Data Catalog as the Hive metastore. The other options are either more complex or require additional steps, such as setting up Apache Ranger for security, managing a Hive metastore on an EMR cluster or an RDS instance, or migrating the metadata manually.
References:
* Using the AWS Glue Data Catalog as the metastore for Hive (Section: Specifying AWS Glue Data Catalog as the metastore)
* Metadata Management: Hive Metastore vs AWS Glue (Section: AWS Glue Data Catalog)
* AWS Glue Data Catalog support for Spark SQL jobs (Section: Importing metadata from an existing Hive metastore)
* AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide (Chapter 5, page 131)

NEW QUESTION # 138
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. 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.
B. Create views that include required fields for each of the data requirements. Grant the teams access only to the view that each team requires.
C. 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.
D. Create a separate Redshift cluster for each team. Load only the required data for each team. Restrict access to clusters based on the teams.

Answer: B

Explanation:
Step 1: Understand the Data Access Requirements
The question presents distinct access needs for three teams:
Marketing team: Needs full access to customer contact info but only obfuscated claim information.
Claims team: Needs access to customer information relevant to the claims they process.
Analytics team: Needs only obfuscated PII data.
These teams require different levels of access, and the solution needs to enforce data security while keeping administrative overhead low.
Step 2: Why Option B is Correct
Option B (Creating Views) is a common best practice in Amazon Redshift to restrict access to specific data without duplicating data or managing multiple clusters. By creating views:
You can define customized views of the data with obfuscated fields for the analytics team and marketing team while still providing full access where necessary.
Views provide a logical separation of data and allow Redshift administrators to grant access permissions based on roles or groups, ensuring that each team sees only what they are allowed to.
Obfuscation or masking of PII can be easily applied to the views by transforming or hiding sensitive data fields.
This approach avoids the complexity of managing multiple Redshift clusters or S3-based data lakes, which introduces higher operational and administrative overhead.
Step 3: Why Other Options Are Not Ideal
Option A (Separate Redshift Clusters) introduces unnecessary administrative overhead by managing multiple clusters. Maintaining several clusters for each team is costly, redundant, and inefficient.
Option C (Separate Redshift Roles) involves creating multiple roles and managing complex masking policies, which adds to administrative burden and complexity. While Redshift does support column-level access control, it's still more overhead than managing simple views.
Option D (Move to S3 and Lake Formation) is a more complex and heavy-handed solution, especially when the data is already stored in Redshift. Migrating the data to S3 and setting up a data lake with Lake Formation introduces significant operational complexity that isn't needed for this specific requirement.
Conclusion:
Creating views in Amazon Redshift allows for flexible, fine-grained access control with minimal overhead, making it the optimal solution to meet the data access requirements of the marketing, claims, and analytics teams.

NEW QUESTION # 139
......

The pass rate is 98.75% for Data-Engineer-Associate learning materials, and we will help you pass the exam just one time if you choose us. In order to build up your confidence for Data-Engineer-Associate training materials, we are pass guarantee and money back guarantee, if you fail to pass the exam, we will give you full refund. In addition, you can receive the download link and password within ten minutes for Data-Engineer-Associate Training Materials, if you don’t receive, you can contact with us, and we will solve this problem for you immediately. We offer you free update for 365 days for you, and the update version for Data-Engineer-Associate exam materials will be sent to your email automatically.

Real Data-Engineer-Associate Testing Environment: https://www.updatedumps.com/Amazon/Data-Engineer-Associate-updated-exam-dumps.html

Amazon Data-Engineer-Associate Valid Dumps Ppt Here, we will help you and bring you to the right direction, Amazon Data-Engineer-Associate Valid Dumps Ppt Such as, if you think you need more time for the test at first time, you can set a reasonable time to suit your pace, Amazon Real Data-Engineer-Associate Testing Environment Purchasing video training then the best tools which are available for this task are Amazon Real Data-Engineer-Associate Testing Environment Real Data-Engineer-Associate Testing Environment - AWS Certified Data Engineer - Associate (DEA-C01), Amazon Data-Engineer-Associate Valid Dumps Ppt Are you afraid of being dismissed by your bosses?

They'll need to be concerned with call control, the architecture and the Data-Engineer-Associate Demo Test networks that support telepresence, Building multiplayer games with GameKit, Here, we will help you and bring you to the right direction.

Free PDF Quiz 2025 Data-Engineer-Associate: AWS Certified Data Engineer - Associate (DEA-C01) – The Best Valid Dumps Ppt

Such as, if you think you need more time for the test at first time, you can set Data-Engineer-Associate a reasonable time to suit your pace, Amazon Purchasing video training then the best tools which are available for this task are Amazon AWS Certified Data Engineer - Associate (DEA-C01).

Are you afraid of being dismissed by your bosses, With continuous Data-Engineer-Associate innovation and creation, our Data-Engineer-Associate study pdf vce has won good reputation in the industry.

P.S. Free 2025 Amazon Data-Engineer-Associate dumps are available on Google Drive shared by UpdateDumps: https://drive.google.com/open?id=1xThbTxUjcnoTlrqLJ24e3X0iMSaEyrm6

Tags: Data-Engineer-Associate Valid Dumps Ppt, Real Data-Engineer-Associate Testing Environment, 100% Data-Engineer-Associate Correct Answers, Latest Data-Engineer-Associate Braindumps Pdf, Data-Engineer-Associate Demo Test

Comments

There are still no comments posted ...

Rate and post your comment

Username:
Password:
Forgotten password?

Most Popular

Amazon Data-Engineer-Associate Valid Dumps Ppt, Real Data-Engineer-Associate Testing Environment

Formats of UpdateDumps Updated Data-Engineer-Associate Exam Practice Questions

Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q134-Q139):

Free PDF Quiz 2025 Data-Engineer-Associate: AWS Certified Data Engineer - Associate (DEA-C01) – The Best Valid Dumps Ppt

Login