C1000-142 Practice Exam Questions and Answers

Infrastructural path involves migrating apps from to Cloud to take advantage of cloud native technologies. Virtual Machine and Bare metal included in the Infrastructural path to migration.

Explanation

IBM API Connect® Service provides API creation and management with security-rich features and centralized governance. You can use IBM API Connect for IBM Cloud to quickly create APIs for microservices based on Node.js and Java runtimes. When APIs are hosted on API Connect: Consumers can locate, understand, learn, and experiment with the APIs they need before committing to use them. They can also self-subscribe to them using revocable keys. Providers can hide the exact locations of API implementations, enable version-based routing, and throttle inbound requests to the API on a per-consumer basis. These capabilities are helpful while packaging data for partners. Consumers and providers can track use and response times, which allows them to tie resource use to their business model. In-Correct Answers IBM Event Streams for IBM Cloud is a high-throughput message bus built with Apache Kafka and was previously known as Message Hub. In Event Streams, applications send data by creating a message and sending it to a topic. It uses availability support from IBM Kubernetes services to maintain high availability and resilience. Integration is available with IBM Cloud services as well as Watson Internet of Things® (IoT). Key Features Fully Managed: Built on Apache Kafka, IBM Cloud Event Streams is a fully managed service. Intuitive UX: Deploy your Event Streams in minutes using the benefits of IBM Design Thinking. Event-Driven: Use integrations with IBM Cloud services like Watson IoT platform, IBM Streaming Analytics, and IBM Cloud Functions to easily create your event-driven architecture. IBM App Connect® is a powerful all-in-one tool for easily connecting apps, integrating data, building APIs, and acting on events. App Connect 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. You can connect to any application or endpoint, from the latest SaaS apps to mainframe systems. IBM App Connect allows you to connect applications together using a common platform. It enables you to build automation triggers between applications and automate workflows and integrate data using the included 75+ connectors and 50+ templates. Key Features Intuitive Development Tools: Easily create APIs, thoroughly test them, then share them with others both inside and outside your organization. Easy Yet Powerful Security: Use pre-defined security policies to protect your API or customize your own. Lifecycle Management: Manage the entire lifecycle of your APIs for your internal team, external consumers, and third parties. Customizable Developer Portal: Share your APIs with other developers using the built-in fully-customizable portal. The portal includes the ability to communicate with API consumers using a variety of modalities including blogs, forums, and messaging. IBM® MQ on Cloud provides enterprise-grade messaging capabilities to allow the flow of information between different applications. This service is fully managed so you can focus on integrating MQ applications rather than upgrades and patches. Key Features Deduplication: Messages are delivered without duplicates. Connectivity: Connectivity issues are handled by MQ. Encryption: End-to-end data encryption is used to ensure the security of your data. [Exam Tips] Remember following points: If you need to create, secure, and manage APIs use API Connect If you need to connect, copy, and sync application data across platforms use APP Connect If you need to deliver reliable, secure messaging, either on-premises or over the cloud use MQ If you need to build adaptive smart apps that react to events as soon as they happen use IBM Event Streams

MongoDB is an open source, cross-platform, document-oriented database management system that uses flexible documents instead of tables and rows to process and store various forms of data. Use cases : Mobile applications, Real-time analytics, Content management systems. Cloudant is an IBM software product, which is primarily delivered as a cloud-based service. Cloudant is a non-relational, distributed database service of the same name. Cloudant is based on the Apache-backed CouchDB project and the open source BigCouch project.

IBM Cloud® Databases and IBM Cloud® Database-as-a-Services (DBaaS) are fully managed by IBM, unless customers specifically request to manage some aspects themselves.

IBM Cloud® Databases and DBaaS offers your organization significant financial, operational, and strategic benefits like below:

- Your organization pays a predictable periodic charge based on the resources you consume—there’s no need to purchase additional capacity to have on hand for hypothetical future needs.

- You can quickly and easily scale-up and down as per your need.

- They are highly available, secure with IBM enterprise security, compatible with open-source databases, scalable, and economical including features like default encryption of data at rest and in-transit and integrated identity and access management controls. Some also meet specific regulatory compliance standards.

IBM's catalog of database services includes:

1. IBM Cloudant, IBM Cloud®Databases for etcd

2. IBM Cloud® Databases for MongoDB

3. IBM Cloud® Databases for PostgreSQL

4. IBM Cloud® Databases for Redis Elasticsearch

Hybrid Cloud combines public cloud, private cloud and on-premises infrastructure to create a single, flexible, cost-optimal IT infrastructure. Hybrid Cloud model best suits where security and regulatory compliance required. Use Cases : Security and regulatory compliance: We can reserve sensitive data and highly regulated workloads behind-the firewall in private cloud and can use more economical public cloud resources for less-sensitive workloads and data. Resource optimization, and cost savings: We can manage predictable capacity workload on private cloud and can migrate unpredictable workloads to public cloud to scale up quickly and automatically. Cloud Scaling : A business has on-premise infrastructure that can handle a certain amount of user load. The hybrid allows them to scale up in response to a larger load then automatically de-provision resources when they no longer need them. Multicloud: Composite cloud are applications that are spread across multiple cloud environments. If a business has on-premise architecture that allows them to run three components of their app but the system gets bogged down in busier times, such as holidays, they take advantage of the multicloud architecture by composing their application across multiple cloud environments. In-Correct Answers - Full control over hardware and software choices : In Private cloud, customer have full control over IT infrastructure, They are free to purchase the hardware and software as per their choice. They can customize(configure) servers and software as needed. - Greater visibility into security and access control, In Private Cloud, all workloads run behind the customers’ own firewall. - Greater elasticity and scalability: With public cloud, a customer can add capacity in response to unexpended surges in traffic, without purchasing and installing new hardware. [Exam Tips] : You can expect few questions from here in your exam, so before appearing for exam, you should be aware of use cases of private, public and hybrid cloud.

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.