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1.
A city has been collecting data on its public bicycle share program for the past three years. The 5PB dataset currently resides on Amazon S3. The data contains the following datapoints:
Bicycle origination points
Bicycle destination points
Mileage between the points
Number of bicycle slots available at the station (which is variable based on the station location)
Number of slots available and taken at a given time
The program has received additional funds to increase the number of bicycle stations available. All data is regularly archived to Amazon Glacier.
The new bicycle stations must be located to provide the most riders access to bicycles.
How should this task be performed?
Bicycle origination points
Bicycle destination points
Mileage between the points
Number of bicycle slots available at the station (which is variable based on the station location)
Number of slots available and taken at a given time
The program has received additional funds to increase the number of bicycle stations available. All data is regularly archived to Amazon Glacier.
The new bicycle stations must be located to provide the most riders access to bicycles.
How should this task be performed?
2.
A company is centralizing a large number of unencrypted small files from multiple Amazon S3 buckets. The company needs to verify that the files contain the same data aftercentralization.
Which method meets the requirements?
Which method meets the requirements?
3.
An administrator receives about 100 files per hour into Amazon S3 and will be loading the files into Amazon Redshift. Customers who analyze the data within Redshift gain significant value when they receive data as quickly as possible. The customers have agreed to a maximum loading interval of 5 minutes.
Which loading approach should the administrator use to meet this objective?
Which loading approach should the administrator use to meet this objective?
4.
An enterprise customer is migrating to Redshift and is considering using dense storage nodes in its Redshift cluster. The customer wants to migrate 50 TB of data. The customer’s query patterns involve performing many joins with thousands of rows.
The customer needs to know how many nodes are needed in its target Redshift cluster. The customer has a limited budget and needs to avoid performing tests unless absolutely needed. Which approach should this customer use?
The customer needs to know how many nodes are needed in its target Redshift cluster. The customer has a limited budget and needs to avoid performing tests unless absolutely needed. Which approach should this customer use?
5.
A system needs to collect on-premises application spool files into a persistent storage layer in AWS. Each spool file is 2 KB. The application generates 1 M files per hour. Each source file is automatically deleted from the local server after an hour.
What is the most cost-efficient option to meet these requirements?
What is the most cost-efficient option to meet these requirements?
6.
A telecommunications company needs to predict customer churn (i.e., customers who decide to switch to a competitor). The company has historic records of each customer, including monthly consumption patterns, calls to customer service, and whether the customer ultimately quit the service. All of this data is stored in Amazon S3. The company needs to know which customers are likely going to churn soon so that they can win back their loyalty.
What is the optimal approach to meet these requirements?
What is the optimal approach to meet these requirements?
7.
The department of transportation for a major metropolitan area has placed sensors on roads at key locations around the city. The goal is to analyze the flow of traffic and notifications from emergency services to identify potential issues and to help planners correct trouble spots. A data engineer needs a scalable and fault-tolerant solution that allows planners to respond to issues within 30 seconds of their occurrence.
Which solution should the data engineer choose?
Which solution should the data engineer choose?
8.
An administrator is processing events in near real-time using Kinesis streams and Lambda. Lambda intermittently fails to process batches from one of the shards due to a 5-munite time limit.
What is a possible solution for this problem?
What is a possible solution for this problem?
9.
An organization uses Amazon Elastic MapReduce(EMR) to process a series of extract-transform-load (ETL) steps that run in sequence. The output of each step must be fully processed in subsequent steps but willnot be retained.
Which of the following techniques will meet this requirement most efficiently?
Which of the following techniques will meet this requirement most efficiently?
10.
An organization uses a custom map reduce application to build monthly reports based on many small data files in an Amazon S3 bucket. The data is submitted from various business units on a frequent but unpredictable schedule. As the dataset continues to grow, it becomes increasingly difficult to process all of the data in one day. The organization has scaled up its Amazon EMR cluster, but other optimizations could improve performance.
The organization needs to improve performance with minimal changes to existing processes and applications.
What action should the organization take?
The organization needs to improve performance with minimal changes to existing processes and applications.
What action should the organization take?