1. You are building a machine learning model to predict the likelihood of a customer buying a product based on their past purchase history and demographic information. As part of the model evaluation process, you want to visualize the distribution of the target variable and the relationship between the target variable and the input features. Which of the following AWS services would you use for data analysis and visualization?

A) Amazon Rekognition
B) Amazon QuickSight
C) Amazon Elastic MapReduce (EMR)
D) Amazon Kinesis Data Firehose
E) Amazon Aurora


2. Which of the following is not a feature of Amazon Comprehend?

A) Object Detection
B) Sentiment Analysis
C) Topic Modeling
D) Key Phrase Extraction
E) Entity Recognition


3. A company wants to develop a system for transcribing audio recordings of customer service calls to improve their customer service. They plan to use Amazon Transcribe for this purpose. Which of the following is a feature of Amazon Transcribe that can help the company achieve their goal?

A) Image recognition
B) Sentiment analysis
C) Speaker diarization
D) Object detection
E) Real-time transcription


4. You are designing a real-time data streaming pipeline with Amazon Kinesis Data Firehose. You need to transform incoming data before it is stored in Amazon S3. Which of the following services can you use to perform the data transformation?

A) Amazon Redshift
B) AWS Glue ETL jobs
C) Amazon Kinesis Data Analytics
D) AWS Lambda



5. A company is using Amazon Redshift for their data warehousing needs. They have created a new Redshift cluster with 4 nodes and 2 slices per node. They want to ensure that their workload is spread evenly across all nodes and slices to achieve maximum performance. Which of the following options should they use to achieve this goal?

A) Use compound sorting on their tables
B) Use interleaved sorting on their tables
C) Create a distribution style of ALL on their tables
D) Use a ROUND ROBIN distribution style on their tables
E) Create a distribution style of KEY on their tables