Data preparation for ML
Practise only this domain. 62 questions with explanations, 20 at a time.
Start data preparation for MLSample questions
- A marketing analytics team has raw customer exports with inconsistent date formats and blank cells. They want a point-and-click workspace where analysts can apply hundreds of ready-made cleaning steps and save the sequence as a reusable recipe, without writing any scripts. Which AWS service fits?Easy
- A computer vision startup needs thousands of images annotated with bounding boxes. It wants a managed labeling service that can draw on its own staff, a vendor team, or a public crowd, and that trains a model to auto-label the easy images so people focus on the hard ones. Which service should it use?Easy
- An analyst wants to run ad hoc ANSI SQL over Parquet files stored in an Amazon S3 bucket. She wants to pay only for the data each query scans and does not want to provision or manage a cluster. Which AWS service should she use?Easy
- A media company stores raw video footage whose retrieval frequency is unpredictable, sometimes daily and sometimes not for months. The team does not want to write lifecycle rules or monitor access patterns. Which S3 option best fits?Medium
- A data analyst with limited Spark experience wants to build a join and a filter over two S3 datasets by arranging nodes on a canvas. The tool should produce the job script automatically. Which AWS Glue capability fits?Easy
- A Glue job reads JSON exports where some records omit a field and others store the same field as a string instead of a number. The team wants a structure that tolerates these mismatches and can later be converted to a Spark DataFrame. Which Glue construct fits?Hard
- A Firehose stream writes clickstream events to S3, and consumers complain about millions of tiny objects. Which setting should be tuned so that records accumulate before each delivery?Medium
- A warehouse stores a very large sales fact table that is repeatedly joined to smaller dimension tables on customer_id. Which distribution style reduces network traffic during those joins?Hard
- A forecasting team builds features from an event log and wants a seven-day trailing average plus a 30-day rolling maximum for each entity. Which operation produces these?Medium