Pass the IBM Certified Advocate - Cloud v2 C1000-142 Questions and answers with ValidTests

Explanation

IBM Cloud® use Cloud Foundry as Open Source for PaaS .

DevOps does not continuously integrates and automates security throughout the DevOps lifecycle, Its DevSecOps which continuously integrates and automates security throughout the DevOps lifecycle.

Remaining three other options are valid for DevOps

Let's understand DevOps first, DevOps is a practice of bringing development and operations teams together. With DevOps, a developer can automate the build process, code testing and deployment. DevOps used to deliver code faster to production (Continuous delivery) and iterate continuously based on market feedback.

With a DevOps strategy you can do the following:

- Accelerate the delivery of reliable software.

- Balance speed, cost, quality, and risk with increased capacity to innovate.

- Reduce time to customer feedback with improved customer experience.

Common use cases for devops include cloud native and mobile applications, application integration, and modernization and multicloud management.

[Exam Tips]: Remember, DevOps is used to deliver code faster to production, DevOps bring development and operation team together to deploy code to production faster.

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.

Virtualization is a process that allows for more efficient utilization of physical computer hardware and is the foundation of cloud computing. Virtualization uses software to create an abstraction layer over computer hardware that allows the hardware elements of a single computer—processors, memory, storage and more—to be divided into multiple virtual computers, commonly called virtual machines (VMs). Each VM runs its own operating system (OS) and behaves like an independent computer, even though it is running on just a portion of the actual underlying computer hardware. Benefit of virtualization: Virtualization brings several benefits to data center operators and service providers: Resource efficiency: Before virtualization, each application server required its own dedicated physical CPU—IT staff would purchase and configure a separate server for each application they wanted to run. (IT preferred one application and one operating system (OS) per computer for reliability reasons.) Invariably, each physical server would be underused. In contrast, server virtualization lets you run several applications—each on its own VM with its own OS—on a single physical computer (typically an x86 server) without sacrificing reliability. This enables maximum utilization of the physical hardware’s computing capacity. Easier management: Replacing physical computers with software-defined VMs makes it easier to use and manage policies written in software. This allows you to create automated IT service management workflows. For example, automated deployment and configuration tools enable administrators to define collections of virtual machines and applications as services, in software templates. This means that they can install those services repeatedly and consistently without cumbersome, time-consuming. and error-prone manual setup. Admins can use virtualization security policies to mandate certain security configurations based on the role of the virtual machine. Policies can even increase resource efficiency by retiring unused virtual machines to save on space and computing power. Minimal downtime: OS and application crashes can cause downtime and disrupt user productivity. Admins can run multiple redundant virtual machines alongside each other and failover between them when problems arise. Running multiple redundant physical servers is more expensive. Faster provisioning: Buying, installing, and configuring hardware for each application is time-consuming. Provided that the hardware is already in place, provisioning virtual machines to run all your applications is significantly faster. You can even automate it using management software and build it into existing workflows. [Exam Tips]: You can expect few questions from Virtualization and benefits of virtualization.

Explanation

A Multi-Zone Region (MZR) helps your load balancer appliances achieve high availability and redundancy. Use an MZR for core business applications that have stringent resiliency requirements. The MZR scales services based on events at a medium to high cost. An MZR provides these benefits: Consistent cloud services across the different zones Better resiliency, availability, higher interconnect speed between data centers for cloud platforms Infrastructure services such as IBM® Cloud Object Storage, and IBM Cloud load balancers

Correct Answer:

IBM® Db2® Warehouse provides a client-managed, preconfigured data warehouse that runs in private clouds, virtual private clouds and other container-supported infrastructures. IBM® Db2® Warehouse on Cloud is a fully managed, elastic cloud data warehouse that delivers independent scaling of storage and compute.

In-Correct Answers:

IBM Analytics Engine is a cloud-based service that enables data scientists to rapidly provision, manage, run and retire Apache Hadoop and Apache Spark clusters. IBM Analytics Engine provides an architecture for Hadoop clusters that decouples the compute and storage tiers. Instead of a permanent cluster formed of dual-purpose nodes, the Analytics Engine allows users to store data in an object storage layer such as IBM Cloud Object Storage and spins up clusters of compute notes when needed.

IBM Watson® Machine Learning provides a full range of tools and services so you can build, train, and deploy Machine Learning models. IBM Watson Machine Learning makes it easy for developers and data scientists to work together to integrate predictive capabilities with their applications. The Machine Learning service is a set of REST APIs that you can call from any programming language to develop applications that make smarter decisions, solve tough problems, and improve user outcomes.

IBM Watson® Knowledge Catalog is a data catalog tool that powers intelligent, self-service discovery of data, models and more. IBM Watson Knowledge Catalog can automatically discover and register data assets at the provided connection. As assets are added to the catalog, they are automatically indexed and classified, making it easy for users such as data engineers, data scientists, data stewards and business analysts to find, understand, share and use the assets.

Use Cases: Improve data quality, manage data privacy and compliance, Enable self-service discovery and analysis

IBM Watson® Discovery is an intelligent search service that delivers specific answers to questions while serving up an entire document for exploration. Watson Discovery lets you rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data.

In a few steps, you can prepare your unstructured data, create a query that pinpoints the information you need, and integrate those insights into your applications.

Available features include Smart Document Understanding (SDU), Search Skills, and IBM Watson Discovery News.

IBM Watson®Assistant : Watson Assistant allows you to use the power of Watson to bring a conversational interface to your solution. Your customers can interact with Watson Assistant using natural language conversation.

We have two option to view billing information - monthly overview and specific service.

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

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.