31 January, 2020

Realistic Amazon-Web-Services BDS-C00 Testing Bible

we provide Breathing Amazon-Web-Services BDS-C00 free exam which are the best for clearing BDS-C00 test, and to get certified by Amazon-Web-Services AWS Certified Big Data -Speciality. The BDS-C00 Questions & Answers covers all the knowledge points of the real BDS-C00 exam. Crack your Amazon-Web-Services BDS-C00 Exam with latest dumps, guaranteed!

Page: 1 / 22

Total 264 questions Full Exam Access

Question 1

You are configuring your company’s application to use Auto Scaling and need to move user state
information. Which of the following AWS services provides a shared data store with durability and low latency?

Amazon Simple Storage Service

Amazon DynamoDB

Amazon EC2 instance storage

AWS ElasticCache Memcached

Question 2

A company is using Amazon Machine Learning as part of a medical software application. The application will predict the most likely blood type for a patient based on a variety of other clinical tests that are available when blood type knowledge is unavailable.
What is the appropriate model choice and target attribute combination for the problem?

Multi-class classification model with a categorical target attribute

Regression model with a numeric target attribute

Binary Classification with a categorical target attribute

K-Nearest Neighbors model with a multi-class target attribute

Question 3

A company is preparing to give AWS Management Console access to developers. Company policy
mandates identity federation and role based access control. Roles are currently assigned using groups in the corporate Active Directory. What combination of the following will give developers access to the AWS console? Choose 2 answers

AWS Directory Service AD connector

AWS Directory Service Simple AD

AWS identity and Access Management groups

AWS identity and Access Management roles

AWS identity and Access Management users

Question 4

A data engineer is running a DWH on a 25-node Redshift cluster of a SaaS service. The data engineer
needs to build a dashboard that will be used by customers. Five big customers represent 80% of usage, and there is a long tail of dozens of smaller customers. The data engineer has selected the dashboarding tool.
How should the data engineer make sure that the larger customer workloads do NOT interfere with the smaller customer workloads?

Apply query filters based on customer-id that can NOT be changed by the user and apply distribution keys on customer id

Place the largest customers into a single user group with a dedicated query queue and place the rest of the customer into a different query queue

Push aggregations into an RDS for Aurora instanc

Connect the dashboard application to Aurora rather than Redshift for faster queries

Route the largest customers to a dedicated Redshift cluster, Raise the concurrency of the multi- tenant Redshift cluster to accommodate the remaining customers

Question 5

You have a web application that is currently running on a collection of micro instance types in a single AZ behind a single load balancer. You have an Auto Scaling group configured to scale from 2 to 64 instances. When reviewing your CloudWatch metrics, you see that sometimes your Scaling group is running 64 micro instances. The web application is reading and writing to a DyanamoDB-configured backend and configured with 800 Write Capacity units and 800 Read Capacity units. Your customers are complaining that they are experiencing load times when viewing you website. You have investigated the DynamoDB CloudWatch metrics; you are under the provisioned read and Write Capacity units and there is no throttling.
How do you scale your service to improve the load times and ensure the principles of high availability?

Change your Auto Scaling group configuration to include multiple AZs

Change you Auto Scaling group configuration to include multiple AZs, and increase the number of Read Capacity units in your DynamoDB table by a factor of three, because you will need to be calling DynamoDB from three AZs

Add a second load balancer to your Auto Scaling group so that you can support more inbound connections per second

Change your Auto Scaling group configuration to use larger instances and include multiple AZs instead of one

Question 6

A systems engineer for a company proposes digitalization and backup of large archives for customers.
The systems engineer needs to provide users with a secure storage that makes sure that data will never be tempered with once it has been uploaded. How should this be accomplished?

Create an Amazon Glacier Vaul

Specify a “Deny” Vault lock policy on this vault to block “glacier:DeleteArchive”.

Create an Amazon S3 bucke

Specify a “Deny” bucket policy on this bucket to block “s3:DeleteObject”.

Create an Amazon Glacier Vaul

Specify a “Deny” vault access policy on this Vault to block “glacier:DeleteArchive”.

Create a secondary AWS containing an Amazon S3 bucke

Grant “s3:PutObject” to the primary account.

Question 7

The Trusted Advisor service provides insight regarding which four categories of an AWS account?

Security, fault tolerance, high availability, and connectivity

Security, access control, high availability, and performance

Performance, cost optimization, security, and fault tolerance

Performance, cost optimization, access control, and connectivity

Question 8

A large oil and gas company needs to provide near real-time alerts when peak thresholds are exceeded in its pipeline system. The company has developed a system to capture pipeline metrics such as flow rate, pressure and temperature using millions of sensors. The sensors deliver to AWS IoT.
What is a cost-effective way to provide near real-time alerts on the pipeline metrics?

Create an AWS IoT rule to generate an Amazon SNS notification

Store the data points in an Amazon DynamoDB table and polite peak metrics data from an Amazon EC2 application

Create an Amazon Machine Learning model and invoke with AWS Lambda

Use Amazon Kinesis Streams and a KCL-based application deployed on AWS Elastic Beanstalk

Question 9

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 minimal changes to existing processes and applications.
What action should the organization take?

Use Amazon S3 Event Notifications and AWS Lambda to create a quick search file index in DynamoDB.

Add Spark to the Amazon EMR cluster and utilize Resilient Distributed Datasets in-memory.

Use Amazon S3 Event Notifications and AWS Lambda to index each file into an Amazon Elasticsearch Service cluster.

Schedule a daily AWS Data Pipeline process that aggregates content into larger files using S3DistCp.

Have business units submit data via Amazon Kinesis Firehose to aggregate data hourly into Amazon S3.

Question 10

A company is deploying a two tier, highly available web application to AWS. Which Service provides
durable storage for static content while utilizing lower overall CPU resources for the web tier?

Amazon EBS volume

Amazon S3

Amazon EC2 instance store

Amazon RDS instance

Question 11

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

Question 12

You have an Auto Scaling group associated with an Elastic Load Balancer (ELB). You have noticed that
instances launched via the Auto Scaling group are being marked unhealthy due to an ELB health check, but these unhealthy instances are not being terminated.
What do you need to do to ensure trial instances marked unhealthy by the ELB will be terminated
and replaced?

Change the thresholds set on the Auto Scaling group health check

Add an Elastic Load Balancing health check to your Auto Scaling group

Increase the value for the Health check interval set on the Elastic Load Balancer

Change the health check set on the Elastic Load Balancer to use TCP rather than HTTP checks

Question 13

Using only AWS services. You intend to automatically scale a fleet of stateless of stateless web
servers based on CPU and network utilization metrics. Which of the following services are needed? Choose 2 answers

Auto Scaling

Amazon Simple Notification Service

AWS Cloud Formation

CloudWatch

Amazon Simple Workflow Service

Question 14

A company is building a new application is AWS. The architect needs to design a system to collect application log events. The design should be a repeatable pattern that minimizes data loss if an application instance fails, and keeps a durable copy of all log data for at least 30 days.
What is the simplest architecture that will allow the architect to analyze the logs?

Write them directly to a Kinesis Firehos

Configure Kinesis Firehose to load the events into an Amazon Redshift cluster for analysis.

Write them to a file on Amazon Simple Storage Service (S3). Write an AWS lambda function that runs in response to the S3 events to load the events into Amazon Elasticsearch service for analysis.

Write them to the local disk and configure the Amazon cloud watch Logs agent to lead the data into CloudWatch Logs and subsequently into Amazon Elasticsearch Service.

Write them to CloudWatch Logs and use an AWS Lambda function to load them into HDFS on an Amazon Elastic MapReduce (EMR) cluster for analysis.

Question 15

You have launched an Amazon Elastic Compute Cloud (EC2) instance into a public subnet with a primary private IP address assigned, an internet gateway is attached to the VPC, and the public route table is configured to send all internet-based internet. Why is the internet unreachable from this instance?

The Internet gateway security group must allow all outbound traffic

The instance does not have a public IP address

The instance “Source/Destination check” property must be enabled

The instance security group must allow all inbound traffic

Question 16

A photo sharing service stores pictures in Amazon Simple Storage Service (S3) and allows application
signin using an Open ID Connect compatible identity provider. Which AWS Security Token approach to temporary access should you use for the Amazon S3 operations?

SAML-based identity Federation

Cross-Account Access

AWS identity and Access Management roles

Web identity Federation

Question 18

An organization has configured a VPC with an Internet Gateway (IGW). Pairs of public and private
subnets (each with one subnet per Availability Zone), and an Elastic Load Balancer (ELB) configured to use the public subnets. The application’s web tier leverages the ELB. Auto Scaling and a multi-AZ
RDS database instance the organization would like to eliminate any potential single points of failure in this design.
What step should you take to achieve this organization's objective?

Nothing, there are no single points of failure in this architecture.

Create and attach a second IGW to provide redundant internet connectivity.

Create and configure a second Elastic Load Balancer to provide a redundant load balancer.

Create a second multi-AZ RDS instance in another Availability Zone and configure replication to provide a redundant database.

Question 20

A new algorithm has been written in Python to identify SPAM e-mails. The algorithm analyzes the free text contained within a sample set of 1 million e-mails stored on Amazon S3. The algorithm must be scaled across a production of 5 PB, which also resides in Amazon S3 storage
Which AWS service strategy is best for this use case?

Copy the data into Amazon ElasticCache to perform text analysis on the in-memory data and export the results of the model into Amazon machine learning

Use Amazon EMR to parallelize the text analysis tasks across the cluster using a streaming program step

Use Amazon Elasticsearch service to store the text and then use the Python Elastic search client to run analysis against the text index

Initiate a python job from AWS Data pipeline to run directly against the Amazon S3 text files

Question 21

A company hosts a portfolio of e-commerce websites across the Oregon, N.Virginia, Ireland and
Sydney AWS regions. Each site keeps log files that captures user behavior. The company has built an application that generates batches of product recommendations with collaborative filtering in Oregon. Oregon was selected because the flagship site is hosted there and provides the largest collection of data to train machine learning models against. The other regions do NOT have enough historic data to train accurate machine learning models.
Which set of data processing steps improves recommendations for each region?

Use the e-commerce application in Oregon to write replica log files in each other region

Use Amazon S3 bucket replication to consolidate log entries and builds a single model in Oregon

Use Kinesis as a butler for web logs and replicate logs to the Kinesis streams of a neighboring region

Use the CloudWatch Logs agent to consolidate logs into a single CloudWatch logs group

Question 22

A company needs to deploy services to an AWS region which they not previously used. The company currently has an AWS identity and Access Management (IAM) role for their Amazon EC2 instances, which permits the instance to have access to Amazon DynamoDB. The company wants their EC2 instances in the new region to have the same privileges. How should the company achieve this?

Create a new IAM role and associated policies within the new region

Assign the existing IAM role to the Amazon EC2 instances in the new region

Copy the IAM role and associated policies to the new region and attach it to the instances

Create the Amazon Machine Image of the instance and copy it to the desired region using the AMI Copy feature

Page: 1 / 22

Total 264 questions Full Exam Access