C1000-142 IBM Cloud Advocate v2 Questions and Answers

IBM Cloud® for VMware Solutions Shared uses VMware Cloud Director to enable you to extend your VMs to the cloud with ultimate capacity and scalability, while paying only for what is consumed. With IBM managing the infrastructure up to the hypervisor, you don’t need to worry about providing updates and patching, and instead can focus on application innovation. Use Cases : Development and test, Temporary workload migration, Cost-effective disaster recovery. Note : RTO is the maximum amount of time the organization can afford to be without access to the data or application. In other words, how quickly the customer needs to recover the data and application. RPO is the amount of data an organization can afford to lose and effectively dictates how frequently they need to back up their data to avoid losing more.

Serverless computing is a cloud computing execution model that provisions computing resources on demand and offloads all responsibility for common infrastructure management tasks. They are auto-scalable so it can handle extremely active traffic periods.

Serverless computing does-not means there are no physical servers utilized, of course there are servers, but we don't have to manage them, in background cloud provider manage (provisioning, scheduling, scaling, patching and more) for us, this gives developers more time to develop and optimize their front-end application code and business logic. And with serverless, customers never pay for idle capacity. They pay only for the resources required to run their applications, and only when those applications are running.

Serverless is a polyglot environment, enabling developers to code in any language or framework - Java, Python, node.js - with which they're comfortable. Because serverless scales up and down on demand in response to workload, it offers significant cost savings for spiky workloads. But it does not offer the same savings for workloads characterized by predictable, steady or long-running processes; in these cases, a traditional server environment might be simpler and more cost-effective.

Serverless Implementations differ across service providers, and capabilities vary, including supported runtimes, authentication, scaling and monitoring.

Serverless architectures are well-suited for event-driven, IOT and stream-processing workloads most notably open-source Apache Kafka event streaming platform.

Benefits:

- Pay only for the time for our code will run.

- Developer don't have to take care of servers or infrastructure, it maintains by cloud provider, so they can focus more on development and business logic.

- API Management & Integrated event sources.

- Serverless scales up and down on demand in response to workload

[Exam Tips]: You can expect, few QUESTION NO: from here, Remember bold keyboards

Application virtualization: Application virtualization runs application software without installing it directly on the user’s OS. This differs from complete desktop virtualization (mentioned above) because only the application runs in a virtual environment—the OS on the end user’s device runs as usual. There are three types of application virtualization:

Local application virtualization: The entire application runs on the endpoint device but runs in a runtime environment instead of on the native hardware.

Application streaming: The application lives on a server which sends small components of the software to run on the end user's device when needed.

Server-based application virtualization : The application runs entirely on a server that sends only its user interface to the client device.

MongoDB is a cross-platform document-oriented database.

The best answer here is Regulatory and compliance standards. The other Challenges and Perceived Risks of Cloud Computing are : •Data security •Governance and sovereignty issues •Lack of standardization

Explanation

Hypervisor : a hypervisor is a lightweight software layer. A hypervisor is an abstraction layer that abstracts physical compute resources, making them available virtually to virtual machines (VMs). The hypervisor assigns processors, memory, and storage to each VM. It keeps VMs separate so that they do not interfere with each other. Features of a hypervisor are: 1. A hypervisor is software that runs on the physical server or host. 2. It pools the resources from the physical server and allocates them to a virtual environment. 3. Hypervisors are leveraged to virtualize hardware whether it's on-premises or in the public cloud.

Explanation

VMware vSphere is a streamlined and optimized ordering platform for VMware. With this platform, you can build your own IBM-hosted VMware environment by customizing and ordering the VMware-compatible hardware based on your selected VMware components.

Explanation

The IBM Cloud® Databases for MongoDB service allows developers to take advantage of the latest MongoDB features: rich JSON documents, powerful query language, multi-document transactions, and authentic APIs. The service also automates common database administration tasks like high availability, backups, encryption, and infrastructure planning.

Serverless computing is a cloud computing execution model that provisions computing resources on demand and offloads all responsibility for common infrastructure management tasks. They are auto scalable so it can handle extremely active traffic periods.

Serverless computing does-not means there are no physical servers utilized, of course there are servers, but we don't have to manage them, in background cloud provider manage (provisioning, scheduling, scaling, patching and more) for us, this gives developers more time to develop and optimize their front-end application code and business logic. And with serverless, customers never pay for idle capacity. They pay only for the resources required to run their applications, and only when those applications are running.

Serverless is a polyglot environment, enabling developers to code in any language or framework - Java, Python, node.js - with which they're comfortable. Because serverless scales up and down on demand in response to workload, it offers significant cost savings for spiky workloads. But it does not offer the same savings for workloads characterized by predictable, steady or long-running processes; in these cases, a traditional server environment might be simpler and more cost-effective.

Serverless Implementations differ across service providers, and capabilities vary, including supported runtimes, authentication, scaling and monitoring.

Serverless architectures are well-suited for event-driven, IOT and stream-processing workloads most notably open-source Apache Kafka event streaming platform.

Benefits:

- Pay only for the time for our code will run.

- Developer don't have to take care of servers or infrastructure, it maintains by cloud provider, so

they can focus more on development and business logic.

- API Management & Integrated event sources.

- Serverless scales up and down on demand in response to workload

Explanation

IBM Cloud® for VMware Solutions Shared uses VMware Cloud Director to enable you to extend your VMs to the cloud with ultimate capacity and scalability, while paying only for what is consumed. With IBM managing the infrastructure up to the hypervisor, you don’t need to worry about providing updates and patching, and instead can focus on application innovation. IBM Cloud® for VMware Solutions Shared is a Infrastructure collocation. Note: Infrastructure collocation is a rule that discovers component instances that are installed in the same infrastructure and that are related to a specific product in the software catalog.

etcd is an open source distributed key-value store used to hold and manage the critical information that distributed systems need to keep running. etcd’s performance is heavily dependent upon storage disk speed, so it’s highly recommended to use SSDs in etcd environments. Redis (for REmote DIctionary Server) is an open-source, in-memory, NoSQL key-value store that is used primarily as an application cache or quick-response database. Redis supports multiple data structures, built-in Lua scripting, multiple levels of on-disk persistence, and high availability. Redis is an in-memory data store and can function as a database, cache, or message broker. In-Correct Answers : MongoDB is an open source, non-relational database management system that uses flexible documents to process and store various forms of data. A NoSQL solution, MongoDB provides an elastic data model that enables users to store and query multivariate data types with ease. This not only simplifies database management for developers but also creates a highly scalable environment for applications and services. MongoDB uses documents or collections of documents as its basic unit of data. Formatted as JSON objects, these documents can store various types of data and be distributed across multiple systems. MongoDB offers a few capabilities that make it stand out from other database management systems, including load balancing, ad hoc database queries, and multi-language support. PostgreSQL, commonly pronounced “Post-GRES,” is an open-source database that has a strong reputation for its reliability, flexibility, and support of open technical standards. PostgreSQL provides the ability to restore databases to a specific moment in time because it maintains a write-ahead log that logs every database change. PostgreSQL features built-in support for multiple procedural languages.

Content Delivery Network is a distributed server network that delivers temporarily stored, or cached, copies of website content to users based on the users’ geographical location to enables faster web performance. Exam tips: Remember CDN Improving website load times, by distributing content from nearby CDN server.

Cost Estimator Tool have ability to download an estimate as PDF , an .XSLX (Excel) or a .CSV (comma-separated values).

Virtualization is a process that allows for more efficient utilization of physical computer hardware and is the foundation of cloud computing.

Types of virtualization:

CPU (central processing unit) virtualization is the fundamental technology that makes hypervisors, virtual machines, and operating systems possible. It allows a single CPU to be divided into multiple virtual CPUs for use by multiple VMs.

Application virtualization runs application software without installing it directly on the user’s OS. This differs from complete desktop virtualization (mentioned above) because only the application runs in a virtual environment—the OS on the end user’s device runs as usual. There are three types of application virtualization:

Local application virtualization: The entire application runs on the endpoint device but runs in a runtime environment instead of on the native hardware.

Application streaming: The application lives on a server which sends small components of the software to run on the end user's device when needed.

Server-based application virtualization The application runs entirely on a server that sends only its user interface to the client device.

Data center virtualization abstracts most of a data center’s hardware into software, effectively enabling an administrator to divide a single physical data center into multiple virtual data centers for different clients.

Each client can access its own infrastructure as a service (IaaS), which would run on the same underlying physical hardware. Virtual data centers offer an easy on-ramp into cloud-based computing, letting a company quickly set up a complete data center environment without purchasing infrastructure hardware.

IBM Cloud® Internet Services Edge functions allow you to create or modify existing applications, without having to configure or maintain infrastructure, by using a serverless execution environment. Edge functions run on CIS edge servers, not in the user’s browser. That means you can trust that your code runs in a trusted environment where it cannot be bypassed by malicious clients. It also means that the user does not need to be using a modern browser that supports service workers – you can even intercept requests from API clients that aren't browsers. Edge Functions allows you to run code closer to users of your public-facing applications or websites. In turn, you can improve your application's performance and reduce latency. This means you can quickly create new applications or modify existing ones without having to configure or maintain infrastructure via our serverless execution environment. Once a new application is deployed or an existing application is modified, it takes us ~15 seconds to get the changes distributed globally to our 180+ PoPs worldwide.

Explanation

Block storage, sometimes referred to as block-level storage, is a technology that is used to store data files on Storage Area Networks (SANs) or cloud-based storage environments. Developers favor block storage for computing situations where they require fast, efficient, and reliable data transportation.

SSL (Secure Socket Layer) allows information to travel from browser to server and back again using a secured transmission tunnel to combat eavesdropping. Verification amount depends on the style of SSL certificate involved. You can manage your SSL certificates in the IBM Cloud® console. Within the IBM Cloud console, all SSL certificates ordered through IBM Cloud can be managed from the SSL Orders screen. This screen tracks all orders, including the common name, certificate type, and expiration date of the certificate but does not contain any certificate-specific details such as the certificate itself or the Private Key. From this screen, current and expired SSL certificates can be renewed under their pre-existing terms, and fulfillment emails can be requested to receive the SSL certificate details if they are lost. All requests that are made from the SSL Orders screen are routed to the appropriate certificate authority for the SSL certificate, which fulfills the requests as necessary. Because IBM Cloud does not possess the SSL certificate details, IBM Cloud is unable to provide any additional information about the certificate.

Explanation

Cloud Functions lets you focus on writing code and building great solutions, without the hassle of setting up, configuring, or maintaining servers. You only pay for the time your code actually runs*, which means no excess capacity or idle time. Cloud Functions scales to fit your exact demand, from once a day to thousands of parallel requests per second.

You can run code for any type of application or backend service, all with zero administration. Invoke your code directly via a REST API, or in response to IBM Cloud services and third-party events.

Because Cloud Functions is open-source and is built around an open ecosystem of event providers, there is never a need to worry about vendor lock-in.

IBM Cloud® Function is server less it does not mean Physical infrastructure resources like virtual server, network, storage disks are not required for IBM Cloud® Function, because these resources are required and managed by Cloud Provider.

Continuous Deployment automates the process of pushing changes from the staging environment to the production environment

Cloud migration is the process of relocating an organization’s data, applications, and workloads to a cloud infrastructure. Enterprises typically migrate workloads to a cloud to improve operational performance and agility, workload scalability, and security. Key Drivers Related to Cloud Migration are Agility, Flexibility and Competitiveness.

IBM Cloud Architects recommend and design cloud solutions to solve client problems

IBM Event Streams for IBM Cloud® is an event-streaming platform based on the Apache Kafka® project and incorporates the open-source Strimzi technology. It Integrates with Watson Internet of Things (IoT) and IBM Cloud functions to leverage event streams.

IBM Event Streams for IBM Cloud® is a high-throughput message bus built with Apache Kafka. IBM Event Streams supports Apache Avro schemas, enabling your Kafka applications to use schemas to validate data structures and to encode and decode data.

Event Streams provides a REST API to help connect your existing systems to your Event Streams Kafka cluster.

In-Correct Answers:

IBM® MQ provide messaging capabilities such as point-to-point and publish-subscribe models to facilitate the flow of information between applications. You can use IBM® MQ to enable applications to communicate at different times and in many diverse computing environments.

IBM App Connect® is a powerful all-in-one tool for easily connecting apps, integrating data, building APIs, and acting on events. It can automatically copy and synchronize data between on-premises and cloud-based applications. it can connect any endpoint, map your data, and move data fast. With IBM App Connect®, you can reliably access and combine data assets across all your enterprise applications, databases, and systems and expose them as APIs.

IBM App Connect® offer prebuilt, security-rich intelligent connectors let you connect applications on premises or in the cloud.

IBM API Connect® The tools that API Connect service provides will create and manage your APIs with security-rich features and centralized governance and business-level controls by setting varying levels of security, visibility, billing plans, and rate limits.

You can use IBM API Connect for IBM Cloud to quickly create APIs for microservices based on Node.js and Java runtimes

Oracle Cloud Server is a server (compute shape), It's not a server-less offering of Oracle Cloud Infrastructure. In-

Correct Answer: AWS Lambda, Google Cloud Functions, Microsoft Azure Functions are automation services of AWS, GCP and Microsoft. Server-less computing is a cloud computing execution model that provisions computing resources on demand and offloads all responsibility for common infrastructure management tasks. They are auto scalable so Its can handle extremely active traffic periods.

Explanation

Microservices architecture is an approach in which a single application is composed of many loosely coupled and independently deployable smaller services. These services typically have their own technology stack, inclusive of the database and data management model; - Microservices communicate with one another over a combination of REST API's, event streaming, and message broker and - Microservices are organized by business capability, with the line separating services often referred to as a bounded context.