BDS-C00 Online Practice Questions and Answers

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 two circumstances would choosing EVEN distribution be most appropriate? (Choose two.)

A. When the tables are highly denormalized and do NOT participate in frequent joins.

B. When data must be grouped based on a specific key on a defined slice.

C. When data transfer between nodes must be eliminated.

D. When a new table has been loaded and it is unclear how it will be joined to dimension tables.

A game company needs to properly scale its game application, which is backed by DynamoDB. Amazon Redshift has the past two years of historical data. Game traffic varies throughout the year based on various factors such as season, movie release, and holiday season. An administrator needs to calculate how much read and write throughput should be provisioned for DynamoDB table for each week in advance.

How should the administrator accomplish this task?

A. Feed the data into Amazon Machine Learning and build a regression model.

B. Feed the data into Spark Mlib and build a random forest modest.

C. Feed the data into Apache Mahout and build a multi-classification model.

D. Feed the data into Amazon Machine Learning and build a binary classification model.

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 after centralization.

Which method meets the requirements?

A. Compare the S3 Etags from the source and destination objects.

B. Call the S3 CompareObjects API for the source and destination objects.

C. Place a HEAD request against the source and destination objects comparing SIG v4 headers.

D. Compare the size of the source and destination objects.

A company needs a churn prevention model to predict which customers will NOT renew their yearly subscription to the company's service. The company plans to provide these customers with a promotional offer. A binary classification model that uses Amazon Machine Learning is required.

On which basis should this binary classification model be built?

A. User profiles (age, gender, income, occupation)

B. Last user session

C. Each user time series events in the past 3 months

D. Quarterly results

You are designing a web application that stores static assets in an Amazon Simple Storage

Service (S3) bucket. You expect this bucket to immediately receive over 150 PUT requests per second. What should you do to ensure optimal performance?

A. Use multi-part upload.

B. Add a random prefix to the key names.

C. Amazon S3 will automatically manage performance at this scale.

D. Use a predictable naming scheme, such as sequential numbers or date time sequences, in the key names

When you put objects in Amazon 53, what is the indication that an object was successfully stored?

A. A HTTP 200 result code and MD5 checksum, taken together, indicate that the operation was successful

B. A success code is inserted into the S3 object metadata

C. Amazon S3 is engineered for 99.999999999% durability. Therefore there is no need to confirm that data was inserted.

D. Each S3 account has a special bucket named_ s3_logs. Success codes are written to this bucket with a timestamp and checksum

Amazon EC2 provides a repository of public data sets that can be seamlessly integrated into AWS cloud-based applications.What is the monthly charge for using the public data sets?

A. A 1 time charge of 10$ for all the datasets.

B. 1$ per dataset per month

C. 10$ per month for all the datasets

D. There is no charge for using the public data sets

You have identified network throughput as a bottleneck on your m1.small EC2 instance when uploading data Into Amazon S3 In the same region.

How do you remedy this situation?

A. Add an additional ENI

B. Change to a larger Instance

C. Use DirectConnect between EC2 and S3

D. Use EBS PIOPS on the local volume

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

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