1. Which of the following natural language processing (NLP) techniques is best suited for extracting semantic meaning from text data?

A) Part-of-Speech (POS) Tagging
B) Named Entity Recognition (NER)
C) Latent Dirichlet Allocation (LDA)
D) Sentiment Analysis
E) None of the above


2. Which of the following AWS services can be used for ingesting and collecting large amounts of data for machine learning purposes? (select 2)(Select 2answers)

A) Amazon Kinesis
B) Amazon RDS
C) Amazon EC2
D) AWS Glue
E) Amazon S3


3. Your company has a streaming data pipeline that processes data using Amazon Kinesis Data Analytics. The pipeline processes a high volume of data and requires high throughput and low latency. Which of the following configurations would you recommend for the Kinesis Data Analytics application?

A) Use a combination of Kinesis Data Streams and Kinesis Data Firehose instead of Kinesis Data Analytics
B) Use a single input stream and a single output stream
C) Use multiple input streams and multiple output streams
D) Use multiple input streams and a single output stream
E) Use a single input stream and multiple output streams


4. You are a data engineer responsible for designing a data pipeline to process and transform large datasets in AWS. Which of the following statements is true regarding AWS Data Pipeline?

A) AWS Data Pipeline is a fully managed service that allows you to process and transform data at scale using Hadoop MapReduce.
B) AWS Data Pipeline is an analytics service that allows you to perform SQL queries on large datasets stored in Amazon Redshift.
C) AWS Data Pipeline is a batch processing service that allows you to execute custom code on large datasets stored in Amazon S3.
D) AWS Data Pipeline is a fully managed service that allows you to create complex workflows for data processing and transformation using a graphical interface.
E) AWS Data Pipeline is a real-time streaming service that allows you to ingest and process data in real-time from various sources.


5. Which AWS service provides automated anomaly detection and forecasting capabilities for operational metrics and logs, allowing you to set up alerts and take automated actions when anomalies are detected?

A) Amazon CloudWatch
B) Amazon QuickSight
C) Amazon Elasticsearch Service
D) Amazon Kinesis Data Analytics