คำถามเกี่ยวกับการวิเคราะห์ข้อมูล

Which situation describes a challenge to data speed?

• An e-commerce website collects clickstream data to make personalized recommendations while users are shopping. When the website has many users, there is a delay in sending results back to customers.

• A regional office sends data in different file formats to the organization's headquarters.

• The sales department wants to use a data source but lacks information about the production line or data quality.

• A data pipeline pulls data from regional sales websites, and a batch job at night fails because it runs out of disk space.

Which statement describes the goal of modern data architecture?

• Select a single data storage service that can accommodate all data formats, structures, and speed requirements of the collected data sources

• Allow users to access all organizational data by integrating data from data lakes, data warehouses, and other purpose-built storage

• Select a data streaming service designed to make all organizational data accessible for real-time analysis

• Allow users to access all organizational data through a highly structured data warehouse that supports fast SQL querying

Which analytical work situation can be a use case for batch data collection processes?

• Filling in the dashboard with real-time error rates from sensors in the factory

• Sending sales transaction data from the retailer's website to a central location periodically, analyzing the data at night, and sending reports to branches in the morning

• Generating real-time alerts from log data to detect potential fraud as it occurs

• Sending small clickstream data continuously from the retailer's website for immediate analysis

A medical research company has a ribonucleic acid (RNA) sequencing machine that stores personal results in an on-premises data storage network. Their data science team wants to import these results into their AWS account. How should they import this data?

• Use AWS Database Migration Service (AWS DMS) to sync data from on-premises file storage to Amazon S3

• Use AWS Data Exchange to subscribe to RNA sequencing data

• Use Amazon AppFlow to connect to on-premises data and move data into a pipeline

• Use AWS DataSync to transfer data from on-premises file storage to an Amazon S3 bucket in the data lake

A data engineer has imported a new JSON file into an Amazon S3 bucket in the AWS Glue Data Catalog lake, maintaining metadata about the data in the lake. Which feature of AWS Glue can the data engineer use to discover the structure of the JSON data with the least steps in a no-code manner?

• Use AWS Glue Studio to write a script that converts JSON data to Apache Parquet format

• Run an AWS Glue crawler on the S3 bucket

• Set up an AWS Glue workflow to manage a set of jobs that convert data to an open columnar format

• Use AWS Glue Studio to transform the data and move it to a data warehouse

The data pipeline will import clickstream data from a shopping website. The data engineer needs to transform the data as it arrives to enable real-time analytics in the Amazon OpenSearch Service dashboard. They also need to generate monthly reports based on the dashboard. What configuration meets this requirement?

• Use Amazon Kinesis Data Firehose to capture the data and send it to Amazon S3, run an AWS Glue crawler to support data discovery for the dashboard

• Use two data pipelines: one to pull data into Amazon Kinesis Data Analytics and send it to OpenSearch Service, and another to send stream data directly from Amazon Kinesis Data Streams to Amazon S3

• Use Amazon Kinesis Data Streams to capture the data, use Amazon Kinesis Data Analytics as a consumer to send the data to OpenSearch Service, and use Amazon Redshift Spectrum to run SQL queries on the stream data for monthly reports

• Use Amazon Kinesis Data Streams to capture the data, use Amazon Kinesis Data Analytics to consume and transform the data from the stream, and use Amazon Kinesis Data Firehose to send the transformed data to OpenSearch Service

Which term describes the considerations in designing data storage for data pipelines?

• Store data from a relational database to a lower-cost storage option

• Select the lowest-cost storage option regardless of the intended use case

• Select the storage option that provides the fastest search regardless of the intended use case

• Store raw data used for analysis in a data warehouse

A data engineer is designing a low-cost infrastructure to store data directly from a central repository for both structured and unstructured data. Which option meets the data engineer's requirements?

• AWS Database Migration Service (AWS DMS)

• Amazon Redshift

• Amazon Quantum Ledger Database (Amazon QLDB)

• Amazon S3

A DevOps engineer is migrating an on-premises Apache Hadoop cluster to AWS. The cluster operates on a schedule using parallel processing. Which AWS service is most suitable?

A DevOps engineer is migrating an on-premises Apache Hadoop cluster to AWS. This cluster operates on a schedule using parallel processing. Which AWS service is the most suitable?

• Amazon EMR

• Amazon Kinesis Data Analytics

• AWS Glue

• AWS Glue DataBrew