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NEW QUESTION 48
Which statement is true regarding serverless computing?
Answer: B
Explanation:
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 Its 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, Its maintain by cloud provider, so they can focus more in development and business logic. - API Management & Integrated event sources. - Serverless scales up and down on demand in response to workload
NEW QUESTION 49
Which of the following are true for IBM Cloud Databases and IBM Cloud Database-as-a-Services? (Select Three)
Answer: A,C,D
Explanation:
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 CloudDatabases for etcd
2. IBM Cloud Databases for MongoDB
3. IBM Cloud Databases for PostgreSQL
4. IBM Cloud Databases for Redis Elasticsearch
NEW QUESTION 50
Which edition of VMWare vSAN support encrypting data at rest as part of IBM Cloud for VMWare solutions?
Answer: C
Explanation:
Correct answer: If you want to use encryption at rest, you must use VMware vSAN Enterprise edition
NEW QUESTION 51
What is an open source continuous delivery tool that can be used for a strong continuous delivery pipeline?
Answer: D
Explanation:
Continuous delivery lets development teams automate the process that moves software through the software development lifecycle, and it can provide many benefits when provisioning an integrated toolbox, including the following: -Reduce time to deployment through continuous testing and development -Decrease the costs associated with traditional software development -Scale software development based on project size -Deploy code automatically into each phase of the development cycle A continuous delivery tool enables you to use open source tools to build, deploy, and manage your applications. By integrating sets of tools, you can create repeatable and manageable tasks, not only for your development team but also your operations team. Open source continuous delivery tools you can use for a strong continuous delivery pipeline include: Jenkins, Concourse CI, Spinnaker, Travis CI, GoCD and GitLab CI
NEW QUESTION 52
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