Task 1.2: Transform and Process Data DEA-C01 Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A company needs to transform streaming data from Amazon Kinesis Data Streams and load it into Amazon S3 in near real-time. The transformation is simple, such as filtering and adding a timestamp. Which service should they use?

   • AAmazon Redshift with a COPY command.
   • BAmazon Kinesis Data Firehose with a Lambda function for transformation.
   • CAWS Glue with a streaming ETL job.
   • DAmazon EMR with Spark Streaming.
   Reveal Solution Discussion Select an answer first
2. 7expert · hard

   A data engineering team is building a pipeline to extract product information from unstructured PDF documents. They want to use a large language model (LLM) to extract key attributes like product name, price, and description. The pipeline must process documents in near real-time and minimize cost. Which approach should they take?

   • AUse Amazon SageMaker to train a custom LLM on product data.
   • BUse Amazon Textract to extract text and then invoke Amazon Bedrock with a Claude model to extract attributes.
   • CUse Amazon Comprehend to extract entities directly from PDFs.
   • DUse AWS Lambda to read the PDF and use a pre-trained model from Amazon SageMaker JumpStart.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A company wants to use an LLM to summarize customer support tickets stored in Amazon S3. The tickets are in JSON format. The pipeline should process tickets in batches and store the summaries in a separate S3 bucket. Which approach should they take?

   • AUse Amazon SageMaker to host a custom LLM and invoke it from a Lambda function.
   • BUse AWS Glue to run a Python script that calls an LLM API.
   • CUse Amazon Bedrock with a batch inference job to process the tickets.
   • DUse Amazon Comprehend to generate summaries.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   A data engineer receives data from a sensor network that emits a reading every second. This data is best classified by which characteristic?

   • AHigh variety
   • BHigh velocity
   • CHigh volume
   • DHigh veracity
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A company collects sensor data from IoT devices at a rate of 10,000 messages per second. Each message is a JSON object with a timestamp and a temperature reading. The data is used for real-time monitoring and also stored for historical analysis. Which classification best describes this data?

   • ALow volume, high velocity, unstructured data.
   • BHigh volume, high velocity, semi-structured data.
   • CHigh variety, low velocity, structured data.
   • DHigh volume, low velocity, structured data.
   Reveal Solution Discussion Select an answer first