What you should NOT consider when selecting a region for AWS services?

Availability of reservation options

Data governance, legal requirements

Services available within the region

What is NOT true about Amazon S3?

You have to manually manage the storage behind your bucket while your data grows

You do not need to provision the storage or throughput

Amazon S3 scales to handle a high volume of requests

You are billed only for what you use

What is NOT true about VPCs and subnets: Select one:

VPC can belong to multiple AWS Regions

VPC can span multiple Availability Zones

Subnets are classified as public and private

Subnet is a range of IP addresses that divide a VPC

VPCs are logically isolated from other VPCs

A VPC peering connection is a networking connection between two VPCs that enables you to route traffic between them privately. Suppose that you have three VPCs: A, B, and C. VPC A is connected to VPC B, and VPC A is connected to VPC C. Would it be possible to route traffic from VPC B to VPC C?

Yes, but with some restrictions

Your teammate has deployed a new S3 bucket and EC2 instance with an agent installed. The agent is supposed to pull its config file from the new S3 bucket. What factor can prevent the agent from downloading the file? Select one:

EC2 does not have proper IAM role assigned

EC2 resides on wrong availability zone

S3 requires ACL permissions to be setup

Which operation doesn’t generate cost in AWS S3? (Choose two) Select one or more:

Data transfer from S3 to any AWS service within the same AWS Region

Data transfer from S3 to AWS service regardless of any AWS Region

Why do we use tagging for Amazon EC2 instances?

To eliminate further changes of the instance To increase efficiency of the instance

To mark the instance as the main one

Your boss asked you quickly host a website in AWS cloud. The website is supposed to serve static images and must be fault-tolerant by design. Please choose a right way of doing it. Select one:

Run a Fargate container with nginx docker image

Create an EC2 instance and install nginx using CloudFormation

Provision an Application Load Balancer and configure rules to serve static web content

Use EC2 Autoscaling 2 to host the website

How would a system administrator add an additional layer of login security to a user's AWS Management Console?

Enable multi-factor authentication

Audit AWS Identity and Access Management (IAM) roles

An EC2 instance is not able to access the internet. The instance is launched in a public subnet, the VPC has an internet gateway attached, and the public subnet’s route table, security groups and ACLs are all configured properly. What could be the cause of this issue?

The instance does not have a public or Elastic IP address assigned/attached

The Instance might not be going through a NAT gateway

The instance could be part of a placement group

The instance may not have an ENI created

Your AWS EC2 instance has an Amazon EC2 Instance store (ephemeral) root volume type for the operating system. What will happen if the instance is stopped and then started again?

Both the OS and any data store on this volume wouldn't survive rebooting

The OS wouldn't survive but any data that was stored on this volume would remain intact

The OS would survive and any data that was stored on this volume would remain intact

The OS would survive but any data that was stored on this volume would be lost

Nicholas is preparing data for a machine learning model in Amazon SageMaker to predict customer churn. His dataset includes a mix of categorical variables (like customer region and subscription type) and textual data (like customer feedback). What steps should Nicholas take to prepare this data correctly for training in Amazon SageMaker?

Convert all textual and categorical data into numeric format, such as by using encoding techniques, and save the data as a CSV file for compatibility with Amazon SageMaker algorithms.

Remove all categorical and textual data, keeping only numeric columns to avoid data conversion issues.

Save the data as-is in a CSV file, assuming SageMaker will automatically handle any necessary conversions.

Only preprocess the numeric data, saving categorical and textual data for later feature engineering.

Kyle's organization wants to deploy an ML solution to analyze customer data from multiple sources. However, he realizes that some data sources are inaccessible due to regulatory restrictions, and there are also concerns about data security. What should Kyle do to proceed effectively?

Discuss with the data owners and regulatory teams to determine secure access to necessary data and compliance measures.

Ensure that all data is stored locally to avoid security concerns.

Use a different algorithm to bypass the regulatory restrictions on data.

Continue building the model with accessible data only, disregarding the restricted sources.

Lars is building an ETL pipeline with AWS Glue to handle customer transaction data stored in Amazon S3 and structured data from Amazon RDS. He wants the ETL process to automatically catalog any new datasets added to S3 and trigger updates to the Data Catalog for immediate access by his analysis team. What approach should Lars take to ensure that the new data is automatically detected, cataloged, and available for analysis?

Configure an AWS Lambda function to detect new data in Amazon S3 and trigger the AWS Glue ETL job, which will both process and catalog the data.

Set up AWS Glue to scan Amazon S3 only once at the start of the project and rely on RDS for further data updates.

Use AWS Glue only with Amazon RDS since it doesn’t natively support integration with S3 events.

Run the ETL job manually every time new data is added to Amazon S3 to avoid automation complexity.

Alan is working on a machine learning project that requires data labeling, model training, and the deployment of Jupyter notebooks for experimentation. He wants to manage his compute resources easily and access pre-built model packages if needed. Which of the following AWS services would be most suitable for Alan to use?

Amazon SageMaker , because it provides tools for data labeling, model training, hosting, and deployment of Jupyter notebooks.

Amazon Redshift , because it provides fast querying and data warehousing capabilities.

AWS Lambda , because it automatically scales and supports serverless functions.

Amazon RDS , because it provides managed relational database services.

Jacob is building a machine learning model to detect the likelihood of disease based on a set of symptoms. He has access to a dataset where the symptoms are represented as text descriptions. Before training the model in Amazon SageMaker, what initial steps should Jacob consider to ensure the data is ready for analysis and model training?

Convert the symptom descriptions into numeric representations (e.g., through text encoding techniques) so that SageMaker algorithms can process them for prediction.

Ensure the data is saved as a CSV file without modifications, as SageMaker algorithms will process text directly.

Restructure the dataset into a non-CSV format to capture more complex relationships between symptoms and the disease.

Use only the numeric features in the dataset and ignore the text-based symptom descriptions.

You are developing a new mobile application which is expected to be used by thousands of customers. You are considering storing user preferences in AWS, and need a data store to save the same. Each data item is expected to be 20KB in size. The solution needs to be cost-effective, highly available, scalable and secure. How would you design the data layer?

Create a DynamoDB table with the required Read and Write capacity and use it as the data layer.

Use Amazon Glacier to store the user data

Create a new AWS MySQL RDS instance and store the user data there.

Use an Amazon Redshift Cluster for managing the user preferences

A reason NOT to use Amazon RDS

Massive read/write rates (for example, 150,000 write/second)

No more than a single worker node or shard

Complex transactions or complex queries

A medium to high query or write rate – Up to 30,000 IOPS (15,000 reads + 15,000 writes)

Which is NOT true about Amazon DynamoDB?

Has certain limits on table size or throughput.

Provides consistent, single-digit millisecond latency at any scale.

Replicates your tables automatically across your choice of AWS Regions.

Works well for mobile, web, gaming, adtech, and Internet of Things (IoT) applications.

A reason to use Amazon RDS

A medium to high query or write rate – Up to 30,000 IOPS (15,000 reads + 15,000 writes)

Sharding due to high data size or throughput demands

Simple GET or PUT requests and queries that a NoSQL database can handle

Relational database management system (RDBMS) customization

Massive read/write rates (for example, 150,000 write/second)

Your application experiences predictable traffic surges every morning when users log in to the system. You want to ensure that the necessary EC2 instances are launched before the traffic spike occurs to avoid performance degradation. What’s the best approach?

Use predictive scaling to forecast traffic patterns and add EC2 instances ahead of the demand

Manually add EC2 instances during high traffic times and remove them afterward

Use AWS Auto Scaling to replace unhealthy instances only

Set up a CloudWatch alarm to trigger dynamic scaling during the traffic spike

Why would you use secondary indexes in DynamoDB?

Use to query data based on non-primary-key attributes

Use to query data based on primary attributes

Use to query data based on values

Use to query data based on the desired output

Use to query data based on NoSQL syntax

Malik's team is considering using machine learning to improve customer service through chatbots. However, the management is concerned about the model's costs, complexity, and interpretability. What should Malik prioritize to gain management support?

Highlight the model's potential impact on customer service and prepare a simplified explanation of its outcomes for the management.

Only consider building a chatbot if it requires minimal staffing and minimal costs.

Use a different approach to customer service that doesn’t involve machine learning, as management doesn’t support ML.

Build a complex, high-performing model and present it to the management as a prototype.

Emily is working on an ML project to predict fraudulent transactions for a bank. However, she noticed that his dataset has inconsistent entries and a limited number of actual fraud examples. Which of the following actions would best address her data quality issue?

Use data-cleaning techniques to ensure data consistency and look for additional sources of fraud data to better represent the problem.

Ignore the data inconsistencies, as machine learning models can handle noisy data automatically.

Increase the complexity of the model to handle the inconsistencies and adjust for the lack of fraud examples.

Increase the number of non-fraud examples in the dataset to balance the data.

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75 questions

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MULTIPLE CHOICE QUESTION

30 sec • 1 pt

You need to allow resources in a private subnet to access the internet. Which of the following must be present to enable this access?

NAT Gateway

Network access control lists

Route tables

Security groups

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which AWS service helps you monitor your AWS resources and the applications that you run on AWS in real-time?

AWS CloudWatch

AWS Cloud9

AWS CloudMonitoring

AWS System Monitoring Service (SMS)

AWS IAM

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Your AWS EC2 instance has an Amazon EBS root volume type for the operating system. What will happen if the instance is stopped and then started again?

Both the OS and any data store on this volume wouldn't survive rebooting

The OS would survive but any data that was stored on this volume would be lost

The OS would survive and any data that was stored on this volume would remain intact

The OS wouldn't survive but any data that was stored on this volume would remain intact

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which of the following is the responsibility of AWS under the AWS shared responsibility model?

Managing custom Amazon Machine Images (AMIs)

Security application access and data

Maintaining physical hardware

Configuring third-party applications

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Each Availability Zone is physically separate from other Availability Zones and has redundant power, networking, and

connectivity

activity

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Edge locations, and Regional edge caches improve performance by . . . content closer to users.

caching

crashing

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

AWS Identity and Access Management (IAM) is appropriate for OS and application authentication.
Select one:

True

False

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Cloud Computing

You need to allow resources in a private subnet to access the internet. Which of the following must be present to enable this access?

Which AWS service helps you monitor your AWS resources and the applications that you run on AWS in real-time?

Your AWS EC2 instance has an Amazon EBS root volume type for the operating system. What will happen if the instance is stopped and then started again?

Which of the following is the responsibility of AWS under the AWS shared responsibility model?

Each Availability Zone is physically separate from other Availability Zones and has redundant power, networking, and

Edge locations, and Regional edge caches improve performance by . . . content closer to users.

AWS Identity and Access Management (IAM) is appropriate for OS and application authentication.
Select one:

Subnets belong to a single Availability Zone. Select one:

What service enables you to customize the network configuration for your VPC?

What you should NOT consider when selecting a region for AWS services?

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground

Discover more resources for Other

Cloud Computing

You need to allow resources in a private subnet to access the internet. Which of the following must be present to enable this access?

Which AWS service helps you monitor your AWS resources and the applications that you run on AWS in real-time?

Your AWS EC2 instance has an Amazon EBS root volume type for the operating system. What will happen if the instance is stopped and then started again?

Which of the following is the responsibility of AWS under the AWS shared responsibility model?

Each Availability Zone is physically separate from other Availability Zones and has redundant power, networking, and

Edge locations, and Regional edge caches improve performance by . . . content closer to users.

AWS Identity and Access Management (IAM) is appropriate for OS and application authentication.Select one:

Subnets belong to a single Availability Zone. Select one:

What service enables you to customize the network configuration for your VPC?

What you should NOT consider when selecting a region for AWS services?

Access all questions and much more by creating a free account

Similar Resources on Wayground

Popular Resources on Wayground

Discover more resources for Other

AWS Identity and Access Management (IAM) is appropriate for OS and application authentication.
Select one: