IBM C1000-142 Exam With Confidence Using Practice Dumps

Watson Discovery unlocks hidden value in information to get answers, monitor trends, and repair patterns with the world’s most advanced cloud-native insight engine. ⦿ Watson Discovery Service enables you to ingest, normalize, enrich, index, search, and explore, your data, both structured and unstructured. Watson Discovery gives you the ability to, store, analyze, and understand your data at scale. First, Watson ingests and standardizes all of your data, no matter the type. Just load it and go. Watson then enriches your data using natural language understanding capabilities. ⦿ Watson Discovery allows you to interrogate your data in either a natural language format or a query language that will search for both Boolean conditions and for phrases. Once the data is found, Watson Discovery uses machine learning algorithms to order the answers so that the most useful answers are listed first. ⦿ Watson Discovery leverages the power of Watson to add deep content learning to your applications. One application of Watson Discovery is natural language documentation search.

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