Free AWS Certified Big Data – Specialty Exam BDS-C00 Exam Practice Test

Do the Amazon EBS volumes persist independently from the running life of an Amazon EC2 instance?

• No
• Only if instructed to when created
• Yes

You have an application running on an Amazon Elastic Compute Cloud instance, that uploads 5 GB video objects to Amazon Simple Storage Service (S3). Video uploads are taking longer than expected, resulting in poor application performance. Which method will help improve performance of your application?

• Enable enhanced networking
• Use Amazon S3 multipart upload
• Leveraging Amazon CloudFront, use the HTTP POST method to reduce latency.
• Use Amazon Elastic Block Store Provisioned IOPs and use an Amazon EBS-optimized instance

A user is planning to host a mobile game on EC2 which sends notifications to active users on either high score or the addition of new features. The user should get this notification when he is online on his mobile device. Which of the below mentioned AWS services can help achieve this functionality?

• AWS Simple Notification Service
• AWS Simple Queue Service
• AWS Mobile Communication Service
• AWS Simple Email Service

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 dataset consists of 5 text files. 1TB each. Currently the dataset resides on- premises due to legal requirements of storing personal data in-country. The research and development department need to run a clustering algorithm on the dataset and wants to use Elastic Map Reduce service in the closes AWS region. Due to geographic distance the minimum latency between the on-premises system and the closet AWS region is 200 ms.Which option allows Company A to do clustering in the AWS Cloud and meet the legal requirement of maintaining personal data in-country?

• Anonymize the personal data portions of the dataset and transfer the data files into Amazon S3 in the AWS region. Have the EMR cluster read the dataset using EMRFS.
• Establishing a Direct Connect link between the on-premises system and the AWS region to reduce latency. Have the EMR cluster read the data directly from the on-premises storage system over Direct Connect.
• Encrypt the data files according to encryption standards of Country X and store them in AWS region in Amazon S3. Have the EMR cluster read the dataset using EMRFS.
• Use AWS Import/Export Snowball device to securely transfer the data to the AWS region and copy the files onto an EBS volume. Have the EMR cluster read the dataset using EMRFS.

Managers in a company need access to the human resources database that runs on Amazon Redshift, to run reports about their employees. Managers must only see information about their direct reports.Which technique should be used to address this requirement with Amazon Redshift?

• Define an IAM group for each employee as an IAM user in that group and use that to limit the access.
• Use Amazon Redshift snapshot to create one cluster per manager. Allow the managers to access only their designated clusters.
• Define a key for each manager in AWS KMS and encrypt the data for their employees with their private keys.
• Define a view that uses the employee's manager name to filter the records based on current user names.

An online photo album app has a key design feature to support multiple screens (e.g. desktop, mobile phone, and tablet) with high quality displays. Multiple versions of the image must be saved in different resolutions and layouts.The image processing Java program takes an average of five seconds per upload, depending on the image size and format. Each image upload captures the following image metadata: user, album, photo label, upload timestampThe app should support the following requirements:* Hundreds of user image uploads per second* Maximum image metadata size of 10 MB* Maximum image metadata size of 1 KB*Image displayed in optimized resolution in all supported screens no later than one minute after image uploadWhich strategy should be used to meet these requirements?

• Write images and metadata to Amazon Kinesis, Use a Kinesis Client Library (KCL) application to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
• Write image and metadata RDS with BLOB data type. Use AWS Data Pipeline to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
• Upload image with metadata to Amazon S3 use Lambda function to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB
• Write image and metadata to Amazon kinesis. Use Amazon Elastic MapReduce (EMR) with Spark Streaming to run image processing and save image output to Amazon

When attached to an Amazon VPC which two components provide connectivity with external networks? Choose 2 answers

• Elastic IPS (EIP)
• NAT Gateway (NAT)
• Internet Gateway {IGW)
• Virtual Private Gateway (VGW)

You have been tasked with implementing an automated data backup solution for your application servers that run on Amazon EC2 with Amazon EBS volumes. You want to use a distributed data store for your backups to avoid single points of failure and to increase the durability of the data. Daily backups should be retained for 30 days so that you can restore data within an hour.How can you implement this through a script that a scheduling deamon runs daily on the application servers?

• Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current data time group, and copy backup data to a second Amazon EBS volume. Use the ec2-describe- volumes API to enumerate existing backup volumes. Call the ec2-delete-volume API to prune backup volumes that are tagged with a date-time group older than 30 days
• Write the script to call the Amazon Glacier upload archive API, and tag the backup archive with the current date-time group. Use the list vaults API to enumerate existing backup archives. Call the delete vault API to prune backup archives that are tagged with a date-time group older than 30 days
• Write the script to call the ec2-create-snapshot API, and tag the Amazon EBS snapshot with the current date-time group. Use the ec2-describe-snapshot API to enumerate existing Amazon EBS snapshots. Call the ec2-delete-snapshot API to prune Amazon EBs snapshots that are tagged with a date-time group older than 30 days
• Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current date-time group, and use the ec2-copy-snapshot API to backup data to the new Amazon EBS volume. Use the ec2-describe-snapshot API to enumerate existing backup volumes. Call the ec2- delete-snapshot API to prune backup Amazon EBS volumes that are tagged with a date-time group older than 30 days

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?

• Define the AMI launch permissions
• Upload the bundled volume
• Register the AMI
• Bundle the volume

A user is trying to setup a recurring Auto Scaling process. The user has setup one process to scale up every day at 8 am and scale down at 7 PM. The user is trying to setup another recurring process which scales up on the 1st of every month at 8 AM and scales down the same day at 7 PM. What will Auto Scaling do in this scenario?

• Auto Scaling will execute both processes but will add just one instance on the 1st
• Auto Scaling will add two instances on the 1st of the month
• Auto Scaling will schedule both the processes but execute only one process randomly
• Auto Scaling will throw an error since there is a conflict in the schedule of two separate Auto Scaling Processes