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AWS Certified Big Data - Specialty Certification - Part 2

Mary Smith

Sun, 19 Apr 2026

AWS Certified Big Data - Specialty Certification - Part 2

1. Which of the following mechanisms can be authenticated LOT devices AWS much? 3 Select the correct option?(Select 2answers)

A) users Lam. groups. and the role
B) X.509 certificate
C) KMS
D) Amazon Cognito identity



2. You work in a well-organized web advertising agency, which has a set of pre-defined ad rotating display routine. Your web site is becoming more and more popular with the high diversity of visitors. You held your own decision to place dynamic ads based on a user click behavior or analysis of the sample. Later, the processing time is not performed to display new ads, because most people just stay put in a matter of seconds rather than minutes, and can be terminated at any time. You begin to evaluate AWS services and features for a possible solution. Which of the following is your recommendation?

A) You have decided to move your site to be placed in AWS AWS using Kinesis to dynamically control the flow of user clicks in real time.
B) Power Web clicks on Amazon Kinesis flow analysis and the analysis of Kinesis Kinesis or client library (KCL)
C) Click data on visits to the Amazon SQS queues signed your application and send it to Amazon RDS and SQL Analysis
D) None
E) Click Web clicks Amazon Kinesis fire hose and analysis Kinesis Kinesis Analytics or client library you just created redshift cluster in AWS.


3. You have reports in real-time log data terabyte scale generated by the application. In addition, you need to discover deviations. Requirements processing delay as small as possible. Of the following options to select two answers that could satisfy this requirement?

A) None
B) candles MLlio
C) AWS Firehose
D) amazon ML
E) Apocne S P3R


4. You can create a model of Amazon Machine Learning, to predict how many inches of snow will fall within the range based on historical data on snow. What simulation you use?

A) binary
B) just
C) None
D) categorical
E) regression


5. The app is currently writing a large number of items in the database tables Dynamo in the region. It is a requirement for a secondary application only take Dinamo database table changes had 2 hours and then the upgrade process. Which of the following is the ideal way to ensure that the secondary program can make the appropriate changes in the Dynamo database table.

A) Put a timestamp for each record, and then scan the entire table for a time stamp as the last 2 h.
B) Using Dynamo DB flow monitor changes in Dynamo DB table.
C) Transfer 53 records that have changed within the past 2 hours
D) Create another table Dynamo DB changed records for the past two hours
E) None


1. Right Answer: A,D
Explanation:

2. Right Answer: B
Explanation:

3. Right Answer: B
Explanation: Apache Spark is an open source project, which has received attention from the analysis of experts. Unlike Hadoop MapReduce two steps. Disk-based paradigm. Candles multistage InMemory primitives delivers up to 100 times faster for some applications. Since it is possible to read data in the memory cluster and ask him again. Candles are often used for iterative machine learning algorithms on the scale.

4. Right Answer: E
Explanation: Regression Model - Models ML for regression tasks predict numerical value. For training the regression model. Amazon ML uses industry standard learning algorithm called linear regression.

5. Right Answer: B
Explanation: Dynamo DB orderly flow stream change information elements in the Amazon Dynamo DB table. When activated, the flow on the table. Dynamo DB records information about each change records in the table. When an application creates, update or delete entries in the table. Dynamo DB currents flow records with the record of the primary key attribute (s) of articles changed. Current record contains information about the data modification in one product to the Dynamo DB table. You can adjust the flow so that the flow registers to collect additional information, such as  à , ¬ � «before�  Y à , ¬ and �  à , ¬ �« after the image modified products.

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