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Latest Upload IBM C1000-172 Online Lab Simulation: IBM Cloud Professional Architect v6

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IBM Cloud Professional Architect v6 Sample Questions (Q67-Q72):

NEW QUESTION # 67
What is a key tenet of Modern Hybrid Cloud?

A. Focuses on lifting and shifting workloads quickly to the cloud
B. Focuses on the portability and automatic scaling of workloads
C. Designed to mimic on-premises
D. Based on extending on-premises infrastructure

Answer: B

Explanation:
A key tenet of Modern Hybrid Cloud is that it focuses on the portability and automatic scaling of workloads.
Modern Hybrid Cloud: This concept revolves around the ability to seamlessly move and manage workloads across multiple cloud environments (public, private, and on-premises) with consistent security, management, and operational practices. Portability and automatic scaling are essential components that enable workloads to be dynamically allocated and scaled based on demand.
Portability and Scalability: By focusing on these aspects, a modern hybrid cloud provides flexibility and efficiency, ensuring that workloads can run optimally across different environments without being tied to a specific infrastructure.
Reference from IBM Cloud Professional Architect Materials:
IBM's materials on Hybrid Cloud emphasize the importance of workload portability and scalability as key factors in modern cloud architectures.
Other options are incorrect:
B . Focuses on lifting and shifting workloads quickly to the cloud is more of a migration strategy, not a core principle of a modern hybrid cloud.
C . Designed to mimic on-premises and D. Based on extending on-premises infrastructure do not encompass the broader goals of a hybrid cloud strategy.

NEW QUESTION # 68
What are the basic components in an event-driven architecture?

A. Event Consumer, Switch, and Event Producer
B. Event Producer, Router, and Event Consumer
C. Event Producer, Router, and Event Store
D. Event Store, Switch, and Event Consumer

Answer: C

Explanation:
In an event-driven architecture, the basic components are:
Event Producer: The source that generates events, such as a service or application emitting a message whenever a significant change or action occurs.
Router (sometimes called an Event Router or Event Bus): Routes the event to the appropriate consumer(s). The router can handle complex event processing, filtering, and transformation before delivering the event.
Event Store: A component that persists events, making them available for future analysis, auditing, or replaying if needed.
Why These Components are Core:
These components are essential to ensure that events are generated, routed to the correct consumers, and stored for traceability and recovery purposes. This architecture is crucial for building scalable, decoupled, and responsive systems.
Comparison with Other Options:
A, B, and C: Do not provide a complete representation of all three core components needed in an event-driven architecture.
Reference:
IBM Cloud Event-driven Architecture
IBM Cloud Architect Exam Study Guide

NEW QUESTION # 69
Which programming languages are supported by IBM Cloud Analytics Engine for developing big data analytics?

A. Java, Scala, Python, and R
B. Scala, Python, and R
C. Python and R only
D. C, C++, Java, Scala, Python, and R

Answer: A

Explanation:
IBM Cloud Analytics Engine supports several programming languages for developing big data analytics. The correct answer is Java, Scala, Python, and R.
IBM Cloud Analytics Engine: This service provides a fully managed Apache Spark service designed to handle big data analytics. Apache Spark, the core engine behind IBM Cloud Analytics Engine, supports multiple programming languages like Java, Scala, Python, and R to build, test, and deploy big data applications.
Supported Languages: According to the IBM Cloud Analytics Engine documentation, developers can use Java, Scala, Python, and R to interact with Spark. This flexibility allows data scientists and engineers to use the language they are most comfortable with or that best suits their project requirements.
Why Other Options are Incorrect:
B . Scala, Python, and R is incomplete as it omits Java.
C . Python and R only is incorrect since it excludes both Java and Scala.
D . C, C++, Java, Scala, Python, and R is incorrect because C and C++ are not supported by Apache Spark in this context.

NEW QUESTION # 70
What is the advantage of having multiple sites within the same region in IBM Cloud for resiliency purposes?

A. Better protection against natural disasters
B. Higher level of data encryption
C. Improved network connectivity between sites
D. Enhanced scalability and performance

Answer: A

Explanation:
Having multiple sites within the same region in IBM Cloud provides better protection against natural disasters.
Multiple Sites for Resiliency: In cloud architecture, resiliency is enhanced by distributing workloads and data across multiple sites or availability zones within the same region. If a natural disaster affects one site, the other sites can continue operations without significant downtime or data loss.
IBM Cloud Regions and Availability Zones: IBM Cloud has multiple availability zones within the same region, providing redundancy and failover options to protect against regional disruptions, such as natural disasters.
Reference from IBM Cloud Professional Architect Materials:
IBM documentation on IBM Cloud Regions and Availability Zones mentions the design for high availability and disaster recovery by using multiple sites or availability zones within a region.
Other options are incorrect:
A . Higher level of data encryption is unrelated to multiple sites.
B . Improved network connectivity between sites is a benefit, but not the primary advantage for resiliency against natural disasters.
C . Enhanced scalability and performance is more relevant to resource allocation and management.

NEW QUESTION # 71
Which of the following statements describes Helm?

A. Helm is an open source project to connect, secure, control, and observe Kubernetes services
B. Helm is a Kubernetes package manager that uses Helm charts to define, install, and upgrade complex Kubernetes apps in your cluster
C. Helm is an OpenStack package manager that uses Heat templates to define, install, and upgrade complex applications
D. Helm is used to describe the network of microservices that make up applications in Kubernetes

Answer: B

NEW QUESTION # 72
......

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