AWS Certified Big Data – ( Specialty (BDS-C00) Test Paper

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Sample Questions:Q) A data engineer in a manufacturing company is designing a data processing platform that receives a large volume of unstructured data. The data engineer must populate a well-structured star schema in Amazon Redshift. What is the most efficient architecture strategy for this purpose?A. Transform the unstructured data using Amazon EMR and generate CSV data. COPY the CSV data into the analysis schema within Redshift.B. Load the unstructured data into Redshift, and use string parsing functions to extract structured data for inserting into the analysis schema.C. When the data is saved to Amazon S3, use S3 Event Notifications and AWS Lambda to transform the file contents. Insert the data into the analysis schema on Redshift.D. Normalize the data using an AWS Marketplace ETL tool, persist the results to Amazon S3, and use AWS Lambda to INSERT the data into Redshift.Q) A new algorithm has been written in Python to identify SPAM e-mails. The algorithm analyzes the free text contained within a sample set of 1 million e-mails stored on Amazon S3. The algorithm must be scaled across a production dataset of 5 PB, which also resides in Amazon S3 storage.Which AWS service strategy is best for this use case?A. Copy the data into Amazon Elasti Cache to perform text analysis on the in-memory data and export the results of the model into Amazon Machine Learning.B. Use Amazon EMR to parallelize the text analysis tasks across the cluster using a streaming program step.C. Use Amazon Elasticsearch Service to store the text and then use the Python Elasticsearch Client to run analysis against the text index.D. Initiate a Python job from AWS Data Pipeline to run directly against the Amazon S3 text files.Q) A data engineer chooses Amazon DynamoDB as a data store for a regulated application. This application must be submitted to regulators for review. The data engin