Amazon BDS-C00 Online Practice Questions and Exam Preparation

Amazon BDS-C00 Online Questions & Answers

• Question 141:

  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 processed daily by an EMR job. Recently it has been observed that the file sizes vary, and the EMR jobs take too long. The distributor needs to tune and optimize the data processing workflow with this limited information to improve the performance of the EMR job. Which recommendation should an administrator provide?

  A. Reduce the HDFS block size to increase the number of task processors.
  B. Use bzip2 or Snappy rather than gzip for the archives.
  C. Decompress the gzip archives and store the data as CSV files.
  D. Use Avro rather than gzip for the archives.
  B. Use bzip2 or Snappy rather than gzip for the archives.

• Question 142:

  You currently run your infrastructure on Amazon EC2 instances behind on Auto Scaling group. All logs for your application are currently written to ephemeral storage. Recently your company experienced a major bug in code that made it through testing and was ultimately deployed to your fleet. This bug triggered your Auto Scaling group to scale up and back down before you could successfully retrieve the logs off your server to better assist you in troubleshooting the bug.

  Which technique should you use to make sure you are able to review your logs after your instances have shut down?

  A. Configure the ephemeral policies on your Auto Scaling group to back up on terminate
  B. Configure your Auto Scaling policies to create a snapshot of all ephemeral storage on terminate
  C. Install the CloudWatch logs Agent on your AMI, and configure CloudWatch Logs Agent to stream your logs
  D. Install the CloudWatch monitoring agent on your AMI, and set up a new SNS alert for CloudWatch metrics that triggers the CloudWatch monitoring agent to backup all logs on the ephemeral drive
  E. Install the CloudWatch Logs Agent on your AMI. Update your Scaling policy to enable automated CloudWatch Log copy
  C. Install the CloudWatch logs Agent on your AMI, and configure CloudWatch Logs Agent to stream your logs

• Question 143:

  A system admin is planning to setup event notifications on RDS. Which of the below mentioned services will help the admin setup notifications?

  A. AWS SES
  B. AWS Cloudtrail
  C. AWS CloudWatch
  D. AWS SNS
  D. AWS SNS

• Question 144:

  A user is running one instance for only 3 hours every day. The user wants to save some cost with the instance. Which of the below mentioned Reserved Instance categories is advised in this case?

  A. The user should not use RI; instead only go with the on-demand pricing
  B. The user should use the AWS high utilized RI
  C. The user should use the AWS medium utilized RI D. The user should use the AWS low utilized RI
  A. The user should not use RI; instead only go with the on-demand pricing

• Question 145:

  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 timestamp The app should support the following requirements:

  1.

  Hundreds of user image uploads per second

  2.

  Maximum image metadata size of 10 MB

  3.

  Maximum image metadata size of 1 KB

  4.

  Image displayed in optimized resolution in all supported screens no later than one minute after image upload Which strategy should be used to meet these requirements?

  A. 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
  B. 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
  C. 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
  D. 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
  D. 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

• Question 146:

  When will you incur costs with an Elastic IP address (EIP)?

  A. When an EIP is allocated.
  B. When it is allocated and associated with a running instance.
  C. When it is allocated and associated with a stopped instance.
  D. Costs are incurred regardless of whether the EIP is associated with a running instance.
  C. When it is allocated and associated with a stopped instance.

• Question 147:

  An organization needs to design and deploy a large-scale data storage solution that will be highly durable and highly flexible with respect to the type and structure of data being stored. The data to be stored will be sent or generated from a variety of sources and must be persistently available for access and processing by multiple applications.

  What is the most cost-effective technique to meet these requirements?

  A. Use Amazon Simple Storage Service (S3) as the actual data storage system, coupled with appropriate tools for ingestion/acquisition of data and for subsequent processing and querying.
  B. Deploy a long-running Amazon Elastic MapReduce (EMR) cluster with Amazon Elastic Block Store (EBS) volumes for persistent HDFS storage and appropriate Hadoop ecosystem tools for processing and querying.
  C. Use Amazon Redshift with data replication to Amazon Simple Storage Service (S3) for comprehensive durable data storage, processing, and querying.
  D. Launch an Amazon Relational Database Service (RDS), and use the enterprise grade and capacity of the Amazon Aurora engine for storage, processing, and querying.
  C. Use Amazon Redshift with data replication to Amazon Simple Storage Service (S3) for comprehensive durable data storage, processing, and querying.

• Question 148:

  Because of the extensibility limitations of striped storage attached to Windows Server, Amazon RDS does not currently support increasing storage on a _____ DB Instance.

  A. SQL Server
  B. MySQL
  C. Oracle
  A. SQL Server

• Question 149:

  You need to design a VPC for a web-application consisting of an Elastic Load Balancer (ELB). A fleet of web/application servers, and an RDS database The Entire Infrastructure must be distributed over 2 availability zones.

  Which VPC configuration works while assuring the database is not available from the Internet?

  A. One public subnet for ELB one public subnet for the web-servers, and one private subnet for the database
  B. One public subnet for ELB two private subnets for the web-servers, two private subnets for RDS
  C. Two public subnets for ELB two private subnets for the web-servers and two private subnets for RDS
  D. Two public subnets for ELB two public subnets for the web-servers, and two public subnets for RDS
  C. Two public subnets for ELB two private subnets for the web-servers and two private subnets for RDS

• Question 150:

  You have been asked to handle a large data migration from multiple Amazon RDS MySQL instances to a DynamoDB table. You have been given a short amount of time to complete the data migration. What will allow you to complete this complex data processing workflow?

  A. Create an Amazon Kinesis data stream, pipe in all of the Amazon RDS data, and direct data toward DynamoDB table
  B. Write a script in you language of choice, install the script on an Amazon EC2 instance, and then use Auto Scaling groups to ensure that the latency of the mitigation pipelines never exceeds four seconds in any 15-minutes period.
  C. Write a bash script to run on your Amazon RDS instance that will export data into DynamoDB
  D. Create a data pipeline to export Amazon RDS data and import the data into DynamoDB
  D. Create a data pipeline to export Amazon RDS data and import the data into DynamoDB