BDS-C00 Online Practice Questions and Answers

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:

1.

Bicycle origination points

2.

Bicycle destination points

3.

Mileage between the points

4.

Number of bicycle slots available at the station (which is variable based on the station location)

5.

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?

A. Move the data from Amazon S3 into Amazon EBS-backed volumes and use an EC-2 based Hadoop cluster with spot instances to run a Spark job that performs a stochastic gradient descent optimization.

B. Use the Amazon Redshift COPY command to move the data from Amazon S3 into Redshift and perform a SQL query that outputs the most popular bicycle stations.

C. Persist the data on Amazon S3 and use a transient EMR cluster with spot instances to run a Spark streaming job that will move the data into Amazon Kinesis.

D. Keep the data on Amazon S3 and use an Amazon EMR-based Hadoop cluster with spot instances to run a Spark job that performs a stochastic gradient descent optimization over EMRFS.

An administrator tries to use the Amazon Machine Learning service to classify social media posts that mention the administrator's company into posts that require a response and posts that do not. The training dataset of 10,000 posts contains the details of each post including the timestamp, author, and full text of the post. The administrator is missing the target labels that are required for training.

Which Amazon Machine Learning model is the most appropriate for the task?

A. Binary classification model, where the target class is the require-response post

B. Binary classification model, where the two classes are the require-response post and does-not-requireresponse

C. Multi-class prediction model, with two classes: require-response post and does-not-require-response

D. Regression model where the predicted value is the probability that the post requires a response

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. Attach a Kinesis Firehose to the stream and persist the sensor data in an Amazon S3 bucket. Schedule an AWS Lambda function to run a query in Amazon Athena against the data in Amazon S3 to identify anomalies. When a change is detected, the Lambda function sends a message to the anomaly stream to open the valve.

B. Launch an Amazon EMR cluster that uses Spark Streaming to connect to the Kinesis stream and Spark machine learning to detect anomalies. When a change is detected, the Spark application sends a message to the anomaly stream to open the valve.

C. Launch a fleet of Amazon EC2 instances with a Kinesis Client Library application that consumes the stream and aggregates sensor data over time to identify anomalies. When an anomaly is detected, the application sends a message to the anomaly stream to open the valve.

D. Create a Kinesis Analytics application by using the RANDOM_CUT_FOREST function to detect an anomaly. When the anomaly score that is returned from the function is outside of an acceptable range, a message is sent to the anomaly stream to open the valve.

In the context of MySQL, version numbers are organized as MySQL version = X.Y.Z. What does X denote here?

A. release level

B. minor version

C. version number

D. major version

When an Auto Scaling group is running in Amazon Elastic Compute Cloud (EC2), your application rapidly scales up and down in response to load within a 10-minutes window; however, after the load peaks, you begin to see problems in your configuration management system where previously terminated Amazon EC2 resources are still showing as active.

What would be a reliable and efficient way to handle the cleanup of Amazon EC2 resources with your configuration management systems?

Choose 2 answers

A. Write a script that is run by a daily cron job on an Amazon EC2 instance and that executes API Describe calls of the EC2 Auto Scaling group and removes terminated instances from the configuration management system

B. Configure an Amazon Simple Queue Service (SQS) queue for Auto Scaling actions that has a script that listens for new messages and removes terminated instances from the configuration management system

C. Use your existing configuration management system to control the launching and bootstrapping of instances to reduce the number of moving parts in the automation

D. Write a small script that is run during Amazon EC2 instance shutdown to de-register the resource from the configuration management system

E. Use Amazon Simple Workflow Service (SWF) to maintain an Amazon DynamoDB database that contains a whitelist of instances that have been previously launched, and allow the Amazon SWF worker to remove information from the configuration management system

A user has launched an EC2 instance from an instance store backed AMI. The infrastructure team wants to create an AMI from the running instance. Which of the below mentioned steps will not be performed while creating the AMI?

A. Define the AMI launch permissions

B. Upload the bundled volume

C. Register the AMI

D. Bundle the volume

What is the name of licensing model in which I can use your existing Oracle Database licenses to run Oracle deployments on Amazon RDS?

A. Bring Your Own License

B. Role Bases License

C. Enterprise License

D. License Included

In the Amazon CloudWatch, which metric should I be checking to ensure that your DB Instance has enough free storage space?

A. FreeStorage

B. FreeStorageSpace

C. FreeStorageVolume

D. FreeDBStorageSpace

A user has created a launch configuration for Auto Scaling where CloudWatch detailed monitoring is disabled. The user wants to now enable detailed monitoring. How can the user achieve this?

A. Update the Launch config with CLI to set InstanceMonitoringDisabled = false

B. The user should change the Auto Scaling group from the AWS console to enable detailed monitoring

C. Update the Launch config with CLI to set InstanceMonitoring.Enabled = true

D. Create a new Launch Config with detail monitoring enabled and update the Auto Scaling group

A user plans to use RDS as a managed DB platform. Which of the below mentioned features is not supported by RDS?

A. Automated backup

B. Automated scaling to manage a higher load

C. Automated failure detection and recovery

D. Automated software patching

You have been tasked with deployment a solution for your company that will store images, which the marketing department will use for its campaigns. Employees are able to upload images via a web interface, and once uploaded, each image must be resized and watermarked with the company logo. Image resize and watermark is not time-sensitive and can be completed days after upload if required.

How should you design this solution in the most highly available and cost-effective way?

A. Configure your web application to upload images to the Amazon Elastic Transcoder service. Use the Amazon Elastic Transcoder watermark feature to add the company logo as a watermark on your images and then upload the final image into an Amazon s3 bucket

B. Configure your web application to upload images to Amazon S3, and send the Amazon S3 bucket URI to an Amazon SQS queue. Create an Auto Scaling group and configure it to use Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the SQS queue for new images and then resize and watermark the image before uploading the final images into Amazon S3

C. Configure your web application to upload images to Amazon S3, and send the S3 object URI to an Amazon SQS queue. Create an Auto Scaling launch configuration that uses Spot instances, specifying a price you are willing to pay. Configure the instances in this Auto Scaling group to poll the Amazon SQS queue for new images and then resize and watermark the image before uploading the new images into Amazon S3 and deleting the message from the Amazon SQS queue

D. Configure your web application to upload images to the local storage of the web server. Create a cronjob to execute a script daily that scans this directory for new files and then uses the Amazon EC2 Service API to launch 10 new Amazon EC2 instances, which will resize and watermark the images daily

What does the "Server Side Encryption" option on Amazon S3 provide?

A. It provides an encrypted virtual disk in the Cloud.

B. It doesn't exist for Amazon S3, but only for Amazon EC2.

C. It encrypts the files that you send to Amazon S3, on the server side.

D. It allows to upload files using an SSL endpoint, for a secure transfer.

Is it possible to access your EBS snapshots?

A. Yes, through the Amazon S3 APIs.

B. Yes, through the Amazon EC2 APIs.

C. No, EBS snapshots cannot be accessed; they can only be used to create a new EBS volume.

D. EBS doesn't provide snapshots.

If your DB instance runs out of storage space or file system resources, its status will change to_____ and your DB Instance will no longer be available.

A. storage-overflow

B. storage-full

C. storage-exceed

D. storage-overage

What's an ECU?

A. Extended Cluster User.

B. None of these.

C. Elastic Computer Usage.

D. Elastic Compute Unit.