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List of questions

Question 1

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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

Question 2

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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 b

Question 3

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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 engineer needs to provide a control framewo

Question 4

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An administrator needs to design a distribution strategy for a star schema in a Redshift cluster. The administrator needs to determine the optimal distribution style for the tables in the Redshift s

Question 5

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Company A operates in Country X. Company A maintains a large dataset of historical purchase orders that contains personal data of their customers in the form of full names and telephone numbers. The

Question 6

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An administrator needs to design a strategy for the schema in a Redshift cluster. The administrator needs to determine the optimal distribution style for the tables in the Redshift schema. In which

Question 7

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A large grocery distributor receives daily depletion reports from the field in the form of gzip archives od CSV files uploaded to Amazon S3. The files range from 500MB to 5GB. These files are proces

Question 8

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A web-hosting company is building a web analytics tool to capture clickstream data from all of the websites hosted within its platform and to provide near-realtime business intelligence. This entire

Question 9

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A customer has an Amazon S3 bucket. Objects are uploaded simultaneously by a cluster of servers from multiple streams of data. The customer maintains a catalog of objects uploaded in Amazon S3 using

Question 10

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A company has several teams of analysts. Each team of analysts has their own cluster. The teams need to run SQL queries using Hive, Spark-SQL, and Presto with Amazon EMR. The company needs to enable

Related questions

A travel website needs to present a graphical quantitative summary of its daily bookings to website visitors for marketing purposes. The website has millions of visitors per day, but wants to control costs by implementing the least-expensive solution for this visualization. What is the most cost-effective solution?

Multiple rows in an Amazon Redshift table were accidentally deleted. A System Administrator is restoring the table from the most recent snapshot. The snapshot contains all rows that were in the table before the deletion. What is the SIMPLEST solution to restore the table without impacting users?

An organization currently runs a large Hadoop environment in their data center and is in the process of creating an alternative Hadoop environment on AWS, using Amazon EMR. They generate around 20 TB of data on a monthly basis. Also on a monthly basis, files need to be grouped and copied to Amazon S3 to be used for the Amazon EMR environment. They have multiple S3 buckets across AWS accounts to which data needs to be copied. There is a 10G AWS Direct Connect setup between their data center and AWS, and the network team has agreed to allocate

An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3. The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster. Which solution will expose the Hive metastore with the LEAST operational effort?

A customer has an Amazon S3 bucket. Objects are uploaded simultaneously by a cluster of servers from multiple streams of data. The customer maintains a catalog of objects uploaded in Amazon S3 using an Amazon DynamoDB table. This catalog has the following fileds: StreamName, TimeStamp, and ServerName, from which ObjectName can be obtained. The customer needs to define the catalog to support querying for a given stream or server within a defined time range. Which DynamoDB table scheme is most efficient to support these queries?

A gas company needs to monitor gas pressure in their pipelines. Pressure data is streamed from sensors placed throughout the pipelines to monitor the data in real time. When an anomaly is detected, the system must send a notification to open valve. An Amazon Kinesis stream collects the data from the sensors and an anomaly Kinesis stream triggers an AWS Lambda function to open the appropriate valve. Which solution is the MOST cost-effective for responding to anomalies in real time?

A company uses Amazon Redshift for its enterprise data warehouse. A new on-premises PostgreSQL OLTP DB must be integrated into the data warehouse. Each table in the PostgreSQL DB has an indexed last_modified timestamp column. The data warehouse has a staging layer to load source data into the data warehouse environment for further processing. The data lag between the source PostgreSQL DB and the Amazon Redshift staging layer should NOT exceed four hours. What is the most efficient technique to meet these requirements?

An organization is designing an application architecture. The application will have over 100 TB of data and will support transactions that arrive at rates from hundreds per second to tens of thousands per second, depending on the day of the week and time of day. All transaction data, must be durably and reliably stored. Certain read operations must be performed with strong consistency. Which solution meets these requirements?

A medical record filing system for a government medical fund is using an Amazon S3 bucket to archive documents related to patients. Every patient visit to a physician creates a new file, which can add up millions of files each month. Collection of these files from each physician is handled via a batch process that runs everу night using AWS Data Pipeline. This is sensitive data, so the data and any associated metadata must be encrypted at rest. Auditors review some files on a quarterly basis to see whether the records are maintained according to regulations. Auditors must be able to locate any physical file in the S3 bucket for a given date, patient, or physician. Auditors spend a significant amount of time location such files. What is the most cost- and time-efficient collection methodology in this situation?

A customer needs to determine the optimal distribution strategy for the ORDERS fact table in its Redshift schema. The ORDERS table has foreign key relationships with multiple dimension tables in this schema. How should the company determine the most appropriate distribution key for the ORDERS table?

Question 19 - BDS-C00 discussion

An Amazon EMR cluster using EMRFS has access to petabytes of data on Amazon S3, originating from multiple unique data sources. The customer needs to query common fields across some of the data sets to be able to perform interactive joins and then display results quickly. Which technology is most appropriate to enable this capability?