Most Recent IBM C1000-142 Exam Dumps

Block storage is used to store data files on Storage Area Networks (SANs) or cloud-based storage environments. It can be attached to compute instance. Block Storage normally mounted onto only one compute node at a time. With block storage, you specify the size of the storage and pay a fee based on the size you provisioned.

When data is moved to block storage, the underlying SAN technology breaks the data into separate, uniform-sized pieces, or blocks. Each block will be given a unique identifier. The SAN will then place those blocks onto the physical storage, distributing them across several disks, often making multiple copies.

When a user or application requests data from a block storage system, the underlying SAN technology reassembles the data blocks and presents the data to the user or application.

Block storage decouples data from user environments. It allows data to be spread and duplicated across multiple storage devices, enabling faster retrieval and higher resilience to disk failures.

Benefits:

Provides the lowest latency: Block storage provides the lowest latency for network-based storage versus local disk drives in the server, Provide IOPS up to 48,000 IOPS.

High performing: Block storage is highly available and independent of the clients that access it. It remains available and durable regardless of client outages.

High redundancy: Network-based block storage is considered to have a higher level of redundancy compared to local disk storage.

Endurance and Performance tiers: Block storage has two tiers from which to choose. Volumes can be created from 20 GB to 12 TB in size.

Eight authorized hosts: Block storage allows eight authorized hosts (can request up to 64) to connect via the multipath IO (MPIO) iSCSI connection.

Snapshots: Block storage allows point-in-time non-disruptive ''snapshots,'' which can be replicated to a cross-regional data center as a duplicate volume.

Custom costs: Block storage allows monthly and hourly billing cycles.

Data-at-rest encryption: Block storage offers provider-managed encryption-at-rest. Note: Customer-managed encryption is not supported by IBM Classic Storage; however, customer-managed encryption keys can be stored

Use Cases:

As you have learned, block storage has a high performance and is easily updatable. Therefore, many organizations use it for transactional databases.

Because of its high performance and reliability, block storage is a common solution for storing emails.

Block storage suitable for low latency workloads where consistently high speeds required.

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

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