Title: Pass4sure Data-Engineer-Associate Study Materials, Valid Data-Engineer-Associate [Print This Page] Author: tedking841 Time: 13 hour before Title: Pass4sure Data-Engineer-Associate Study Materials, Valid Data-Engineer-Associate BTW, DOWNLOAD part of Exam4PDF Data-Engineer-Associate dumps from Cloud Storage: https://drive.google.com/open?id=1wQ0Edp2siuNczgEuLfMbBXzU7mI8a_sH
Everybody hopes he or she is a successful man or woman no matter in his or her social life or in his or her career. Thus owning an authorized and significant Data-Engineer-Associate certificate is very important for them because it proves that he or she boosts practical abilities and profound knowledge in some certain area. Passing Data-Engineer-Associate Certification can help they be successful and if you are one of them please buy our Data-Engineer-Associate guide torrent because they can help you pass the Data-Engineer-Associate exam easily and successfully.
Did you often feel helpless and confused during the preparation of the exam? Do you want to find an expert to help but feel bad about the expensive tutoring costs? Don't worry. Data-Engineer-Associate learning materials can help you to solve all the problems. Data-Engineer-Associate learning material always regards helping students to pass the exam as it is own mission. With Data-Engineer-Associate learning materials, you only need to pay half the money to get the help of the most authoritative experts.
Pass Your Amazon Data-Engineer-Associate: AWS Certified Data Engineer - Associate (DEA-C01) Exam with Authorized Pass4sure Data-Engineer-Associate Study Materials EffectivelyAre you often regretful that you have purchased an inappropriate product? Unlike other platforms for selling test materials, in order to make you more aware of your needs, Data-Engineer-Associate test preps provide sample questions for you to download for free. You can use the sample questions to learn some of the topics about Data-Engineer-Associate learn torrent and familiarize yourself with the Data-Engineer-Associate Quiz torrent in advance. If you feel that the Data-Engineer-Associate quiz torrent is satisfying to you, you can choose to purchase our complete question bank. After the payment, you will receive the email sent by the system within 5-10 minutes. Click on the login to start learning immediately with Data-Engineer-Associate test preps. No need to wait. Amazon AWS Certified Data Engineer - Associate (DEA-C01) Sample Questions (Q188-Q193):NEW QUESTION # 188
A company uses a variety of AWS and third-party data stores. The company wants to consolidate all the data into a central data warehouse to perform analytics. Users need fast response times for analytics queries.
The company uses Amazon QuickSight in direct query mode to visualize the data. Users normally run queries during a few hours each day with unpredictable spikes.
Which solution will meet these requirements with the LEAST operational overhead?
A. Use Amazon Aurora PostgreSQL to load all the data into Aurora.
B. Use Amazon Redshift Serverless to load all the data into Amazon Redshift managed storage (RMS).
C. Use Amazon Athena to load all the data into Amazon S3 in Apache Parquet format.
D. Use Amazon Redshift provisioned clusters to load all the data into Amazon Redshift managed storage (RMS).
Answer: B
Explanation:
* Problem Analysis:
* The company requires acentralized data warehousefor consolidating data from various sources.
* They useAmazon QuickSight in direct query mode, necessitatingfast response timesfor analytical queries.
* Users query the data intermittently, withunpredictable spikesduring the day.
* Operational overhead should be minimal.
* Key Considerations:
* The solution must support fast, SQL-based analytics.
* It must handle unpredictable spikes efficiently.
* Must integrate seamlessly withQuickSightfor direct querying.
* Minimize operational complexity and scaling concerns.
* Solution Analysis:
* Option A: Amazon Redshift Serverless
* Redshift Serverless eliminates the need for provisioning and managing clusters.
* Automatically scales compute capacity up or down based on query demand.
* Reduces operational overhead by handling performance optimization.
* Fully integrates withAmazon QuickSight, ensuring low-latency analytics.
* Reduces costs as it charges only for usage, making it ideal for workloads with intermittent spikes.
* Option B: Amazon Athena with S3 (Apache Parquet)
* Athena supports querying data directly from S3 in Parquet format.
* While it's cost-effective, performance depends on the size and complexity of the data.
* It is not optimized for high-speed analytics needed by QuickSight in direct query mode.
* Option C: Amazon Redshift Provisioned Clusters
* Requires manual cluster provisioning, scaling, and maintenance.
* Higher operational overhead compared to Redshift Serverless.
* Option D: Amazon Aurora PostgreSQL
* Aurora is optimized for transactional databases, not data warehousing or analytics.
* Does not meet the requirement for fast analytics queries.
* Final Recommendation:
* Amazon Redshift Serverlessis the best choice for this use case because it provides fast analytics, integrates natively with QuickSight, and minimizes operational complexity while efficiently handling unpredictable spikes.
:
Amazon Redshift Serverless Overview
Amazon QuickSight and Redshift Integration
Athena vs. Redshift
NEW QUESTION # 189
A company is migrating a legacy application to an Amazon S3 based data lake. A data engineer reviewed data that is associated with the legacy application. The data engineer found that the legacy data contained some duplicate information.
The data engineer must identify and remove duplicate information from the legacy application data.
Which solution will meet these requirements with the LEAST operational overhead?
A. Write an AWS Glue extract, transform, and load (ETL) job. Use the FindMatches machine learning (ML) transform to transform the data to perform data deduplication.
B. Write a custom extract, transform, and load (ETL) job in Python. Use the DataFramedrop duplicatesf) function by importing the Pandas library to perform data deduplication.
C. Write an AWS Glue extract, transform, and load (ETL) job. Import the Python dedupe library. Use the dedupe library to perform data deduplication.
D. Write a custom extract, transform, and load (ETL) job in Python. Import the Python dedupe library. Use the dedupe library to perform data deduplication.
Answer: A
Explanation:
AWS Glue is a fully managed serverless ETL service that can handle data deduplication with minimal operational overhead. AWS Glue provides a built-in ML transform called FindMatches, which can automatically identify and group similar records in a dataset. FindMatches can also generate a primary key for each group of records and remove duplicates. FindMatches does not require any coding or prior ML experience, as it can learn from a sample of labeled data provided by the user. FindMatches can also scale to handle large datasets and optimize the cost and performance of the ETL job. Reference:
AWS Glue
FindMatches ML Transform
AWS Certified Data Engineer - Associate DEA-C01 Complete Study Guide
NEW QUESTION # 190
A company stores data from an application in an Amazon DynamoDB table that operates in provisioned capacity mode. The workloads of the application have predictable throughput load on a regular schedule.
Every Monday, there is an immediate increase in activity early in the morning. The application has very low usage during weekends.
The company must ensure that the application performs consistently during peak usage times.
Which solution will meet these requirements in the MOST cost-effective way?
A. Change the capacity mode from provisioned to on-demand. Configure the table to scale up and scale down based on the load on the table.
B. Divide the table into two tables. Provision each table with half of the provisioned capacity of the original table. Spread queries evenly across both tables.
C. Use AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times.
Schedule lower capacity during off-peak times.
D. Increase the provisioned capacity to the maximum capacity that is currently present during peak load times.
Answer: C
Explanation:
Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. DynamoDB offers two capacity modes for throughput capacity:
provisioned and on-demand. In provisioned capacity mode, you specify the number of read and write capacity units per second that you expect your application to require. DynamoDB reserves the resources to meet your throughput needs with consistent performance. In on-demand capacity mode, you pay per request and DynamoDB scales the resources up and down automatically based on the actual workload. On-demand capacity mode is suitable for unpredictable workloads that can vary significantly over time1.
The solution that meets the requirements in the most cost-effective way is to use AWS Application Auto Scaling to schedule higher provisioned capacity for peak usage times and lower capacity during off-peak times. This solution has the following advantages:
* It allows you to optimize the cost and performance of your DynamoDB table by adjusting the provisioned capacity according to your predictable workload patterns. You can use scheduled scaling to specify the date and time for the scaling actions, and the new minimum and maximum capacity limits. For example, you can schedule higher capacity for every Monday morning and lower capacity for weekends2.
* It enables you to take advantage of the lower cost per unit of provisioned capacity mode compared to on-demand capacity mode. Provisioned capacity mode charges a flat hourly rate for the capacity you reserve, regardless of how much you use. On-demand capacity mode charges for each read and write request you consume, with no minimum capacity required. For predictable workloads, provisioned capacity mode can be more cost-effective than on-demand capacity mode1.
* It ensures that your application performs consistently during peak usage times by having enough capacity to handle the increased load. You can also use auto scaling to automatically adjust the provisioned capacity based on the actual utilization of your table, and set a target utilization percentage for your table or global secondary index. This way, you can avoid under-provisioning or over- provisioning your table2.
Option A is incorrect because it suggests increasing the provisioned capacity to the maximum capacity that is currently present during peak load times. This solution has the following disadvantages:
* It wastes money by paying for unused capacity during off-peak times. If you provision the same high capacity for all times, regardless of the actual workload, you are over-provisioning your table and paying for resources that you don't need1.
* It does not account for possible changes in the workload patterns over time. If your peak load times increase or decrease in the future, you may need to manually adjust the provisioned capacity to match the new demand. This adds operational overhead and complexity to your application2.
Option B is incorrect because it suggests dividing the table into two tables and provisioning each table with half of the provisioned capacity of the original table. This solution has the following disadvantages:
* It complicates the data model and the application logic by splitting the data into two separate tables.
You need to ensure that the queries are evenly distributed across both tables, and that the data is consistent and synchronized between them. This adds extra development and maintenance effort to your application3.
* It does not solve the problem of adjusting the provisioned capacity according to the workload patterns.
You still need to manually or automatically scale the capacity of each table based on the actual utilization and demand. This may result in under-provisioning or over-provisioning your tables2.
Option D is incorrect because it suggests changing the capacity mode from provisioned to on-demand. This solution has the following disadvantages:
* It may incur higher costs than provisioned capacity mode for predictable workloads. On-demand capacity mode charges for each read and write request you consume, with no minimum capacity required. For predictable workloads, provisioned capacity mode can be more cost-effective than on- demand capacity mode, as you can reserve the capacity you need at a lower rate1.
* It may not provide consistent performance during peak usage times, as on-demand capacity mode may take some time to scale up the resources to meet the sudden increase in demand. On-demand capacity mode uses adaptive capacity to handle bursts of traffic, but it may not be able to handle very large spikes or sustained high throughput. In such cases, you may experience throttling or increased latency.
:
1: Choosing the right DynamoDB capacity mode - Amazon DynamoDB
2: Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB
3: Best practices for designing and using partition keys effectively - Amazon DynamoDB
[4]: On-demand mode guidelines - Amazon DynamoDB
[5]: How to optimize Amazon DynamoDB costs - AWS Database Blog
[6]: DynamoDB adaptive capacity: How it works and how it helps - AWS Database Blog
[7]: Amazon DynamoDB pricing - Amazon Web Services (AWS)
NEW QUESTION # 191
A retail company is using an Amazon Redshift cluster to support real-time inventory management. The company has deployed an ML model on a real-time endpoint in Amazon SageMaker.
The company wants to make real-time inventory recommendations. The company also wants to make predictions about future inventory needs.
Which solutions will meet these requirements? (Select TWO.)
A. Use SQL to invoke a remote SageMaker endpoint for prediction.
B. Use Amazon Redshift ML to schedule regular data exports for offline model training.
C. Use Amazon Redshift ML to generate inventory recommendations.
D. Use Amazon Redshift as a file storage system to archive old inventory management reports.
E. Use SageMaker Autopilot to create inventory management dashboards in Amazon Redshift.
Answer: A,C
NEW QUESTION # 192
A company currently stores all of its data in Amazon S3 by using the S3 Standard storage class.
A data engineer examined data access patterns to identify trends. During the first 6 months, most data files are accessed several times each day. Between 6 months and 2 years, most data files are accessed once or twice each month. After 2 years, data files are accessed only once or twice each year.
The data engineer needs to use an S3 Lifecycle policy to develop new data storage rules. The new storage solution must continue to provide high availability.
Which solution will meet these requirements in the MOST cost-effective way?
A. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.
B. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.
C. Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. Transfer objects to S3 Glacier Flexible Retrieval after 2 years.
D. Transition objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after 6 months. Transfer objects to S3 Glacier Deep Archive after 2 years.
Answer: B
Explanation:
To achieve the most cost-effective storage solution, the data engineer needs to use an S3 Lifecycle policy that transitions objects to lower-cost storage classes based on their access patterns, and deletes them when they are no longer needed. The storage classes should also provide high availability, which means they should be resilient to the loss of data in a single Availability Zone1. Therefore, the solution must include the following steps:
Transition objects to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months. S3 Standard-IA is designed for data that is accessed less frequently, but requires rapid access when needed. It offers the same high durability, throughput, and low latency as S3 Standard, but with a lower storage cost and a retrieval fee2. Therefore, it is suitablefor data files that are accessed once or twice each month. S3 Standard-IA also provides high availability, as it stores data redundantly across multiple Availability Zones1.
Transfer objects to S3 Glacier Deep Archive after 2 years. S3 Glacier Deep Archive is the lowest-cost storage class that offers secure and durable storage for data that is rarely accessed and can tolerate a
12-hour retrieval time. It is ideal for long-term archiving and digital preservation3. Therefore, it is suitable for data files that are accessed only once or twice each year. S3 Glacier Deep Archive also provides high availability, as it stores data across at least three geographically dispersed Availability Zones1.
Delete objects when they are no longer needed. The data engineer can specify an expiration action in the S3 Lifecycle policy to delete objects after a certain period of time. This will reduce the storage cost and comply with any data retention policies.
Option C is the only solution that includes all these steps. Therefore, option C is the correct answer.
Option A is incorrect because it transitions objects to S3 One Zone-Infrequent Access (S3 One Zone-IA) after
6 months. S3 One Zone-IA is similar to S3 Standard-IA, but it stores data in a single Availability Zone. This means it has a lower availability and durability than S3 Standard-IA, and it is not resilient to the loss of data in a single Availability Zone1. Therefore, it does not provide high availability as required.
Option B is incorrect because it transfers objects to S3 Glacier Flexible Retrieval after 2 years. S3 Glacier Flexible Retrieval is a storage class that offers secure and durable storage for data that is accessed infrequently and can tolerate a retrieval time of minutes to hours. It is more expensive than S3 Glacier Deep Archive, and it is not suitable for data that is accessed only once or twice each year3. Therefore, it is not the most cost-effective option.
Option D is incorrect because it combines the errors of option A and B. It transitions objects to S3 One Zone-IA after 6 months, which does not provide high availability, and it transfers objects to S3 Glacier Flexible Retrieval after 2 years, which is not the most cost-effective option.
References:
1: Amazon S3 storage classes - Amazon Simple Storage Service
2: Amazon S3 Standard-Infrequent Access (S3 Standard-IA) - Amazon Simple Storage Service
3: Amazon S3 Glacier and S3 Glacier Deep Archive - Amazon Simple Storage Service
[4]: Expiring objects - Amazon Simple Storage Service
[5]: Managing your storage lifecycle - Amazon Simple Storage Service
[6]: Examples of S3 Lifecycle configuration - Amazon Simple Storage Service
[7]: Amazon S3 Lifecycle further optimizes storage cost savings with new features - What's New with AWS
NEW QUESTION # 193
......
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. 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 Data-Engineer-Associate exam, and it is necessary for you to use our Data-Engineer-Associate test questions. Valid Data-Engineer-Associate Exam Forum: https://www.exam4pdf.com/Data-Engineer-Associate-dumps-torrent.html
Users are buying something online (such as Data-Engineer-Associate learning materials), always want vendors to provide a fast and convenient sourcing channel to better ensure the user's use, The price of the Data-Engineer-Associate test dumps is quite reasonable, no matter you are the students or the employees of the rnterprise , you can afford it , Amazon Pass4sure Data-Engineer-Associate Study Materials Customers would like to pay more money in order to buy a high quality product.
Unlike inline frames and above line objects, anchored objects can appear Pass4sure Data-Engineer-Associate Study Materials anywhere on the page or spread containing their text anchor, The faster a network can reconverge after a topology change, the better. Pass Guaranteed Quiz 2026 Data-Engineer-Associate: AWS Certified Data Engineer - Associate (DEA-C01) ¨C Efficient Pass4sure Study MaterialsUsers are buying something online (such as Data-Engineer-Associate Learning Materials), always want vendors to provide a fast and convenient sourcing channel to better ensure the user's use.
The price of the Data-Engineer-Associate test dumps is quite reasonable, no matter you are the students or the employees of the rnterprise , you can afford it , Customers would like to pay more money in order to buy a high quality product.
You can download Exam4PDF Amazon Data-Engineer-Associate PDF dumps file on your desktop computer, laptop, tab, or even on your smartphone, Then, you can catch the important information Data-Engineer-Associate in a short time and do not need spend too much time on useless information.