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IBM C1000-172 Exam Syllabus Topics:

Topic
Details

Topic 1

IBM Cloud Storage Options: This section tests the knowledge of data architects about storage options and capabilities on IBM Cloud, including File Storage, Block Storage for VPC, and Object Storage.

Topic 2

Observability Capabilities: This section measures the ability of data architects to identify monitoring and alerting features in IBM Cloud Monitoring and analyze the functionalities of IBM Log Analysis through detailed use cases.

Topic 3

IBM Cloud Resiliency Features: This part assesses the understanding of data architects about the benefits of deploying applications in multizone regions (MZR), disaster recovery concepts, and resilient solutions.

Topic 4

Compute Options: This part of the exam assesses the knowledge of data architects, focusing on the functionality of VPC on IBM Cloud through detailed feature use cases. It also includes understanding architectural considerations for IBM Cloud container platforms.

IBM Cloud Professional Architect v6 Sample Questions (Q78-Q83):

NEW QUESTION # 78
Which feature optimizes the work of load balancers on IBM Cloud?

A. Standard Failover
B. Traffic Steering
C. Citrix NetScaler VPX
D. Global Load Balancer

Answer: B

Explanation:
Traffic Steering is a feature in IBM Cloud that optimizes the work of load balancers by directing traffic to the most appropriate resources based on predefined criteria, such as geographic location, resource availability, or other custom rules. This feature is crucial for optimizing application performance, reducing latency, and ensuring high availability across different regions and data centers.
IBM Cloud Load Balancer Overview: The IBM Cloud Load Balancer offers several advanced capabilities, including Traffic Steering, which enables intelligent routing of client requests. Traffic Steering can be configured to direct traffic to different backend servers or pools based on various policies like weighted round-robin, geographic proximity, or failover conditions. This optimizes the distribution of workloads and enhances the reliability and responsiveness of applications deployed on the IBM Cloud.
Importance of Traffic Steering: Traffic Steering is particularly beneficial in scenarios involving multi-region deployments. It ensures that user requests are served by the closest or most responsive data center, thereby minimizing response times and improving the end-user experience. It also enables flexible routing based on business logic or dynamic conditions, such as sudden surges in traffic or failures in specific regions.
Global Load Balancer Role: While the Global Load Balancer (Option D) is used for distributing traffic across multiple regions, Traffic Steering is a specific feature within the load balancing suite that controls how traffic is managed. Traffic Steering complements the Global Load Balancer by providing fine-grained control over traffic distribution strategies, enabling more efficient utilization of resources.
Reference:
IBM Cloud Load Balancer Documentation
IBM Cloud Architect Exam Study Guide
IBM Cloud Traffic Steering

NEW QUESTION # 79
A company is using Watson Assistant to improve customer support. The client has integrated the virtual agent technology to handle common inquiries and provide quick assistance.
How can Watson Assistant benefit the company in terms of customer support?

A. Remove the requirement for all human agents
B. Provide live agents who can speak multiple languages
C. Check insurance claim details for non-native English speakers
D. Reduce costs per contact

Answer: D

Explanation:
Watson Assistant helps companies reduce costs per contact by handling common inquiries and providing quick assistance through automation. By using a virtual agent, companies can reduce the number of queries that require human intervention, thereby lowering the overall cost associated with customer support operations.
How Watson Assistant Reduces Costs: Watson Assistant automates responses to frequently asked questions and common tasks, freeing up human agents to handle more complex inquiries. This leads to lower staffing requirements and operational costs.
Comparison with Other Options:
B (Remove the requirement for all human agents): Watson Assistant reduces but does not eliminate the need for human agents.
C (Provide live agents who can speak multiple languages): Not a function of Watson Assistant; it is a virtual agent technology.
D (Check insurance claim details for non-native English speakers): Watson Assistant can handle multilingual conversations, but the primary benefit is cost reduction.
Reference:
IBM Watson Assistant Overview
IBM Cloud Architect Exam Study Guide

NEW QUESTION # 80
What describes the hardware that IBM Cloud Hyper Protect Crypto Services is built on?

A. FIPS 140-2 Level 3-certified hardware
B. NIST 140-2 Level 5-certified hardware
C. FIPS 140-2 Level 4-certified hardware
D. NIST 140-2 Level 2-certified hardware

Answer: A

Explanation:
IBM Cloud Hyper Protect Crypto Services is built on FIPS 140-2 Level 3-certified hardware.
FIPS 140-2 Level 3 Certification: This level of certification ensures that the hardware used by IBM Cloud Hyper Protect Crypto Services provides a high degree of security, including physical tamper-resistance and the use of strong encryption protocols.
IBM Hyper Protect Crypto Services: These services leverage Hardware Security Modules (HSMs) that meet the FIPS 140-2 Level 3 certification. The HSMs provide a secure environment for key management and cryptographic operations, which is critical for meeting stringent regulatory and compliance requirements.
Reference from IBM Cloud Professional Architect Materials:
Detailed information on IBM Cloud Hyper Protect Crypto Services and its use of FIPS 140-2 Level 3-certified hardware can be found in IBM documentation on IBM Cloud Hyper Protect Crypto Services.
Other options are incorrect:
B . NIST 140-2 Level 5-certified hardware and D. NIST 140-2 Level 2-certified hardware are not valid terms.
C . FIPS 140-2 Level 4-certified hardware would be a higher certification level than is currently used.

NEW QUESTION # 81
Which programming languages are supported by IBM Cloud Analytics Engine for developing big data analytics?

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

Answer: B

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 # 82
What is used to allow provisioning of a large number of virtual server instances at the same time when using IBM Cloud Virtual Private Cloud?

A. Instance Models
B. Instance Replication Policies
C. Instance Groups
D. Instance Scaling Policies

Answer: C

Explanation:
Instance Groups are used to allow provisioning of a large number of virtual server instances at the same time when using IBM Cloud Virtual Private Cloud (VPC).
IBM Cloud VPC Instance Groups: Instance Groups provide a way to manage a group of identical virtual server instances within a VPC. They support auto-scaling, load balancing, and rolling updates, making it easier to manage a large number of instances.
Use Case for Large Deployments: When an organization needs to deploy multiple instances simultaneously, Instance Groups simplify the process by providing a template and scaling policies.
Reference from IBM Cloud Professional Architect Materials:
IBM documentation on Instance Groups for VPC describes how they are used for managing large-scale deployments.
Other options are incorrect:
A . Instance Models refer to the types or configurations of instances, not to mass provisioning.
B . Instance Replication Policies do not exist in this context.
D . Instance Scaling Policies manage scaling but are not used for the initial provisioning of multiple instances.

NEW QUESTION # 83
......

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