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AWS Certified Big Data - Specialty Certification - Part 5

Mary Smith

Sun, 19 Apr 2026

AWS Certified Big Data - Specialty Certification - Part 5

1. There is a requirement to analyze large amounts of data updates from Kinesis and Dynamo DB. Which of the following tools can be used for this purpose.?

A) reds shift
B) Quick view
C) None
D) elastic Search
E) AMY


2. The company has established e-commerce website using Dynamo DB and develop a product table containing items purchased and users who purchased the product. When you create a primary key in the table, which of the following would be the best attributes of the primary key? Choose the best answer?

A) _ID product, where there are several products to many users
B) Julian day users, where there are many users to products
C) None
D) none of the above
E) Category Julian day where there is no category for many products


3. Which of the following file formats in the default Athena? Please, choose:

A) None
B) CSV
C) JSON
D) Adobe Acrobat
E) Apache Wood


4. You need to filter and convert the incoming messages coming from the smart sensor connected to the AWS. When you receive a message, you should keep them as time series data Dynamo DB. What AWS services, you can use?

A) None
B) LOT device Shade
C) Pastures Rules Engine
D) LOT Message Broker
E) Shadow Service LOT device


5. You run the data processing TH Hadoop works once for a few hours a day, after the work ended. HEY cluster works in AMSE using EMRFS S3 data. The data in S3 is constantly changing and you have to make sure that the updated data reflected in EMRFS? You also want to CSO data for the cluster stops. How can this be achieved?

A) Enable version of the S3 bucket.
B) Consider using them with a protective storage cluster redundancy.
C) Including the sequence Views
D) Enable recovery CSO cluster
E) Consider using EBS volumes to store data instead.


1. Right Answer: D
Explanation: Amazon Elastic search makes it easy to install, safe. operate and scale Elastic Search log analysis, full text search, monitor applications and many others. Amazon Elastic Search Service is a fully managed service that provides Elastic SEARCH� à , ¬ Ys APIS easy to use and real-time analytics capabilities in addition to availability. scalability. and safety of the production load requires. Service provides native integration with Kibana. Logstash. Induction and services AWS Amazon Virtual Private Cloud (VPC). Amazon Kinesis fire hose. Lambda AWS and Amazon Cloud Watch, so you can go from raw data into valuable information quickly and safely

2. Right Answer: B
Explanation:

3. Right Answer: E
Explanation: Amazon Athena is an interactive service request, which makes it easy to analyze data from Amazon 53 Using standard SQL. Athena server. so there is no infrastructure to be set or operated. and you can start to analyze the data directly. You don�  à , ¬ YT even need to download the data to Athena. it works directly with the data stored in 36). To begin. simply log in Inta à , ¬ console management Athena, define the schedule and start asking. You have to visualize data with a spark and a beehive, running on a cluster of CSOs.

4. Right Answer: C
Explanation: Rides units provide the opportunity to interact with AWS services. Rules are analyzed and measures taken on the basis MQTI flow issues. , You can use rules to support tasks such as these: Extend or filter the data received from the device. Print data from the device to the base of Amazon Dynamo DB data. Save the file to Amazon 53rd

5. Right Answer: C
Explanation:

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