Last Updated on October 31, 2022 by InfraExam
SOA-C01 : AWS-SysOps : Part 19
What does Amazon EBS stand for?
- Elastic Business Server
- Elastic Basic Storage
- Elastic Blade Server
- Elastic Block Store
Amazon EBS stands for Elastic Block Store. It is a persistent storage that allows you to store the data of the Amazon EC2 Instances in a separated virtual storage automatically replicated within its Availability Zone in order to prevent component failure; with Amazon EBS the customer can add more storage every time they need it, and also add more performances with Amazon EBS Provi-sioned IOPS.
EBS (Elastic Block Store) can be best described as:
- persistent internet storage.
- persistent block storage.
- transient instance storage.
- transient block storage.
Amazon Elastic Block Store (Amazon EBS) provides block level (file system type) storage volumes for use with Amazon EC2 instances. Amazon EBS volumes are highly available and reliable storage volumes that can be attached to any running instance that is in the same Availability Zone. Amazon EBS volumes that are attached to an Amazon EC2 instance are exposed as storage volumes that persist independently from the life of the instance.
In Amazon RDS, which of the following provides enhanced availability and durability for Database (DB) Instances, making them to be a natural fit for production database workloads?
- Placement Groups
- Multi-Option Group deployment
- Multi-AZ deployment
- Multi-VPC deployment
Amazon RDS Multi-AZ deployments provide enhanced availability and durability for Database (DB) Instances, making them a natural fit for production database workloads. When you provision a Multi-AZ DB Instance, Amazon RDS automatically creates a primary DB Instance and synchro-nously replicates the data to a standby instance in a different Availability Zone (AZ). Each AZ runs on its own physically distinct, independent infrastructure, and is engineered to be highly reliable.
The Amazon Linux AMI is:
- a simple OS installation media.
- an instance package provided by the AWS.
- a refined, easy-to-use, up-to-date Linux desktop distribution.
- a supported and maintained Linux image provided by AWS.
The Amazon Linux AMI is a supported and maintained Linux image provided by AWS. It is updat-ed on a regular basis to include the latest components, and these updates are also made available in the yum repositories for installation on running instances. The Amazon Linux AMI also Includes packages that enable easy integration with AWS services, such as the AWS CLI, Amazon EC2 API and AMI tools, the Boto library for Python, and the Elastic Load Balancing tools.
___________ is a fully managed service for real-time processing of streaming data at massive scale.
- AWS Data Pipeline
- Amazon Kinesis
- AWS CloudHSM
- Amazon Elastic Compute Cloud
Amazon Kinesis is a fully managed service for real-time processing of streaming data at massive scale. Amazon Kinesis can collect and process hundreds of terabytes of data per hour from hun-dreds of thousands of sources, allowing you to easily write applications that process information in real-time from sources such as web site click-streams, marketing and financial information, manufac-turing instrumentation and social media, and operational logs and metering data.
In Amazon S3, what is the document that defines who can access a particular bucket or object called?
- Access Control Record
- Access Control Service
- Access Control List
- Access Control Server
Access Control List is the document that defines who can access a particular bucket or object in Amazon S3. Amazon S3 Access Control Lists (ACLs) enable you to manage access to buckets and objects. Each bucket and object has an ACL attached to it as a subresource. It defines which AWS accounts or groups are granted access and the type of access.
Where is an object stored in Amazon S3?
- in a Bucket
- in a Collector
- in an Archive
- in a Vault
Every object in Amazon S3 is stored in a bucket. Before you can store data in Amazon S3, you must create a bucket.
Which AWS service offers cost optimization by launching instances automatically only when need-ed?
- Elastic Load Balancing
- Elastic Compute Cloud
- Auto Scaling
- Relational Database Service
AWS Auto Scaling can launch instances based on certain criteria. This provides cost optimization to the user as it will only launch the instance when required, thereby resulting in cost saving.
What does Amazon SWF stand for?
- Simple Waveflow Service
- Simple WebFactor Service
- Simple Workflow Service
- Simple WebForm Service
Amazon Simple Workflow Service (SWF) provides the glue needed by your application to coordi-nate several tasks. These tasks are tackled by several instances coordinating aspects like the depend-encies between them.
In Amazon EC2, can you create an EBS volume from a snapshot and attach it to another instance?
- No, you cannot attach EBS volumes to an instance.
- Yes, you can but only if the volume is larger than 2TB.
- No, you can’t create an EBS volume from a snapshot.
- Yes, you can.
To keep a backup copy of your data, you can create a snapshot of an EBS volume, which is stored in Amazon S3. You can create an EBS volume from a snapshot, and attach it to another instance.
Spot instances are ideally designed for which purpose below?
- Running database instances that can scale up and down based on a specific workload.
- Running long duration and highly transactional applications.
- For building distributed fault tolerant databases under a tight deadline.
- Taking advantage of excess EC2 capacity at prices below standard on-demand rates, for short duration jobs.
There are four general categories of time-flexible and interruption-tolerant tasks that work well with Spot Instances: Delayable tasks, Optional tasks, Tasks that can be sped up by adding additional-computing power and at the end, Tasks that require a large number of compute instances that you can’t access any other way.
What does Amazon EMR stand for?
- Elastic Magnetic Resonance
- Encrypted Machine Reads
- Elastic MapReduce
- Encrypted Machine Rendering
Amazon EMR stands for Elastic MapReduce (Amazon EMR.) Amazon EMR is a managed cluster platform that simplifies running big data frameworks, such as Apache Hadoopand Apache Spark,
on AWS to process and analyze vast amounts of data. By using these frameworks and related open-
source projects, such as Apache Hive and Apache Pig, you can process data for analytics purposes and business intelligence workloads.
What is the main use of EMR?
- Data-sensitive storage
- Data-intensive processing tasks
Using Amazon EMR, you can instantly provision as much or as little capacity as you like to perform data-intensive tasks for applications such as web indexing, data mining, log file analysis, machine learning, financial analysis, scientific simulation, and bioinformatics research. Amazon
EMR lets you focus on crunching or analyzing your data without having to worry about time-consuming set-up, management or tuning of Hadoop clusters or the compute capacity upon which they sit.
What cloud service does Amazon S3 offer?
- Atomic updates across keys over the Internet
- Messaging over the Internet
- Storage over the Internet
- Object locking over the Internet
Amazon S3 has a simple web services interface that you can use to store and retrieve any amount of data, at any time, from anywhere on the web.
A user is launching an instance with EC2. Which options below should the user consider before launching an instance?
- Select the region where the instance is being launched.
- All choices are correct.
- Select the instance type.
- Select the OS of the AMI.
Regarding Amazon EC2, when launching an instance, the user needs to select the region the in-stance would be launched from. While launching, the user needs to plan for the instance type and the OS of the instance.
In regard to AWS CloudFormation, to pass values to your template at runtime you should use ____________.
Optional parameters are listed in the Parameters section. Parameters enable you to pass values to your template at runtime, and can be dereferenced in the Resources and Outputs sections of the template.
What does Amazon S3 stand for?
- Social Storage Service
- Simple Storage Service
- Secure Storage Service
- Standard Storage Service
Amazon Simple Storage Service (Amazon S3) is storage for the Internet. It provides a simple inter-face to manage scalable, reliable, and low latency data storage service over the Internet.
What is Amazon WorkSpaces?
- Amazon WorkSpaces is a fully managed desktop computing service in the cloud, allowing end-users to access the documents, applications, and resources they need with the device of their choice.
- Amazon WorkSpaces is a flexible application management solution with automation tools that enable you to model and control your applications and their supporting infrastructure.
- Amazon WorkSpaces is a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web.
- Amazon WorkSpaces is a web service that enables businesses, researchers, data analysts, and de-velopers to easily and cost-effectively process vast amounts of data.
Amazon WorkSpaces is a fully managed desktop computing service in the AWS cloud, allowing end-users to access the documents, applications, and resources they need with the device of their choice.
Amazon WorkSpaces offers a choice of service bundles. You can choose from Value, Standard, Performance, Power, or Graphics bundles that offer different CPU, GPU, memory, and storage re-sources (SSD volumes).
What does AMI stand for?
- Amazon Machine Image
- Advanced Machine Instance
- Amazon Micro Instance
- Advanced Machine Image
AMI stands for Amazon Machine Image.
An Amazon Machine Image (AMI) is a template that contains a software configuration (for exam-ple, an operating system, an application server, and applications). From an AMI, you launch an in-stance, which is a copy of the AMI running as a virtual server in the cloud. You can launch multiple instances of an AMI, as shown in the following figure.
Which of the following statements is true of tags and resource identifiers for EC2 instances?
- You can’t select instances by their tags for stoppage, termination, or deletion
- You don’t need to specify the resource identifier while terminating a resource.
- You don’t need to specify the resource identifier while stopping a resource.
- You can select instances by their tags for stoppage, termination, or deletion
You can assign tags only to resources that already exist. You can’t terminate, stop, or delete a re-source based solely on its tags; you must specify the resource identifier. For example, to delete snap-shots that you tagged with a tag key called DeleteMe, you must use the DeleteSnapshots action with the resource identifiers of the snapshots, such as snap-1234567890abcdef0. To identify re-sources by their tags, you can use the DescribeTags action to list all of your tags and their associated resources.