Question 146

A Data Engineer is building a pipeline to transform a 1 TD tab e by joining it with supplemental tables The Engineer is applying filters and several aggregations leveraging Common TableExpressions (CTEs) using a size Medium virtual warehouse in a single query in Snowflake.
After checking the Query Profile, what is the recommended approach to MAXIMIZE performance of this query if the Profile shows data spillage?
  • Question 147

    A hotel management company receives daily data files from each of its hotels. The company wants to upload its data to AWS. The company plans to use Amazon Athena to access the files.
    The company needs to protect the files from accidental deletion. The company will develop an application on its on-premises servers to automatically forward the files to a fully managed AWS ingestion service.
    Which solution will meet these requirements with the LEAST operational overhead?
  • Question 148

    A company is planning to deploy Amazon EMR in AWS to analyze vast amounts of data. Amazon EMR will be using the EMR file system. The project team is looking for options to deploy in the existing VPC created. Access to other AWS resources should be provided most securely.
    How can the Amazon EMR cluster be deployed for this requirement?
  • Question 149

    A marketing company uses Amazon S3 to store clickstream data. The company queries the data at the end of each day by using a SQL JOIN clause on S3 objects that are stored in separate buckets.
    The company creates key performance indicators (KPIs) based on the objects. The company needs a serverless solution that will give users the ability to query data by partitioning the data.
    The solution must maintain the atomicity, consistency, isolation, and durability (ACID) properties of the data.
    Which solution will meet these requirements MOST cost-effectively?
  • Question 150

    A company wants to use Apache Spark jobs that run on an Amazon EMR cluster to process streaming data. The Spark jobs will transform and store the data in an Amazon S3 bucket. The company will use Amazon Athena to perform analysis.
    The company needs to optimize the data format for analytical queries.
    Which solutions will meet these requirements with the SHORTEST query times? (Choose two.)
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