[Feb-2025] C1000-172 Braindumps – C1000-172 Questions to Get Better Grades
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NEW QUESTION # 94
Why does IBM Cloud Analytics Engine decouple compute and storage?
- A. Storage can be scaled but not compute
- B. Compute can be scaled but storage costs are fixed
- C. Compute can be scaled but not storage
- D. To achieve scale independently and control costs
Answer: D
Explanation:
IBM Cloud Analytics Engine decouples compute and storage to provide independent scaling and cost management capabilities. This approach allows organizations to scale compute resources (such as CPU and memory) separately from storage resources, optimizing both performance and cost.
Independent Scaling: Decoupling compute and storage means that users can scale the computational power (e.g., number of nodes, processing capabilities) independently of the storage capacity (e.g., data stored in IBM Cloud Object Storage). This is particularly useful in data analytics workloads where the compute requirements may vary significantly over time, but the storage requirements remain relatively constant.
Cost Control: By allowing compute and storage to be managed separately, users have greater flexibility to control costs. For example, users can increase compute power temporarily to handle a peak workload without the need to increase storage costs. Conversely, they can store large datasets without paying for unused compute capacity. This decoupling leads to a more cost-effective and efficient use of cloud resources.
Advantages in Cloud Environments: Decoupling compute and storage aligns with the best practices in modern cloud environments, where elasticity, scalability, and cost efficiency are paramount. It allows organizations to adapt quickly to changing business needs and workload demands, reducing overhead and improving resource utilization.
Reference:
IBM Cloud Analytics Engine Documentation
IBM Cloud Architect Exam Study Guide
IBM Cloud Object Storage
NEW QUESTION # 95
IBM Log Analysis with LogDNA can be used to manage which of the following?
- A. Only application logs in the IBM Cloud
- B. System and application logs in the IBM Cloud
- C. Service Mesh in IBM Cloud
- D. Cloud native applications logs on any Cloud
Answer: B
NEW QUESTION # 96
Which approach must be used to access worker nodes in an IBM Cloud Red Hat OpenShift Kubernetes Service (ROKS)?
- A. OpenStack API server
- B. IBM Cloud management console
- C. telnet
- D. SSH
Answer: D
NEW QUESTION # 97
In the context of the Key Protect service, which of the following statements is correct?
- A. Key Protect allows you to manage service accounts
- B. Key Protect allows you to manage keys as well as SSL/TLS Digital Certificates
- C. Key Protect allows you to import keys for other Clouds
- D. Key Protect allows you to create a new key or import your own key (BYOK)
Answer: D
NEW QUESTION # 98
With regards to disaster recover, what industry term describes 'the maximum amount of time it should take to restore application or system functions following a service disruption'?
- A. Restore Point Duration
- B. Restore Time Duration
- C. Recovery Time Objective
- D. Recovery Point Objective
Answer: C
NEW QUESTION # 99
What is one of the advantages of the adjustable Input/Output Operations Per Second (IOPS) feature on IBM Cloud File Storage?
- A. Manage IOPS on file storage as needed
- B. Use file storage IOPS only when needed
- C. Manage file storage performance as needed
- D. Manage file storage IOPS only when provisioned
Answer: D
NEW QUESTION # 100
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 # 101
An organization has recently deployed Red Hat OpenShift on an IBM Cloud cluster on a VPC infrastructure. Several of the internal applications running in the cluster require access to resources hosted on an IBM Cloud Classic infrastructure. Which two connectivity options would enable this?
- A. Transit Gateway
- B. IBM Cloud Load Balancer
- C. IBM Cloud Direct Link
- D. Classic access VPC
- E. Virtual Routing and Forwarding
Answer: A,C
Explanation:
When an organization has deployed Red Hat OpenShift on an IBM Cloud cluster on a Virtual Private Cloud (VPC) infrastructure and needs to connect to resources hosted on the IBM Cloud Classic infrastructure, IBM Cloud Direct Link and Transit Gateway are the two most suitable connectivity options.
IBM Cloud Direct Link:
IBM Cloud Direct Link provides dedicated, high-speed, and secure connectivity between IBM Cloud infrastructure components, including between VPCs and IBM Cloud Classic infrastructure. By establishing a Direct Link connection, traffic can securely flow between the Red Hat OpenShift workloads in the VPC and the applications or services running on the Classic infrastructure without traversing the public internet.
Transit Gateway:
IBM Cloud Transit Gateway allows organizations to establish a hub-and-spoke model of connectivity, facilitating communication between different networks, such as VPCs and Classic infrastructure, across IBM Cloud. With Transit Gateway, you can interconnect multiple VPCs and Classic networks, allowing seamless communication across the cloud environments. This option is ideal for managing traffic between isolated network segments while maintaining control over traffic routing and security policies.
These two options are typically used in multi-cloud or hybrid cloud architectures to ensure smooth, secure, and scalable communication between cloud environments (VPC and Classic infrastructure) in IBM Cloud.
IBM Cloud Documentation Reference:
IBM Cloud Direct Link
IBM Cloud Transit Gateway
NEW QUESTION # 102
Which Cloud Pak for Applications add-on works with IBM Mobile Foundation to enable developers to rapidly build and deploy the next generation of applications, extending to mobile, wearables, conversation, or web front ends?
- A. Blockchain Platform
- B. Bitcoin Platform
- C. DevOps add-on
- D. Hyperledger Fabric
Answer: A
NEW QUESTION # 103
An architect recently deployed a multizone Red Hat OpenShift cluster on IBM Cloud. The architect wants to ensure that if one data center becomes unavailable, the service will spin up worker nodes in another data center without human intervention.
Which functionality enables this requirement?
- A. Load balancing
- B. Autoscaling
- C. Init-node script automation
- D. Network forwarding
Answer: B
Explanation:
Autoscaling enables automatic scaling of resources in response to demand or failure events, ensuring that a multizone Red Hat OpenShift cluster on IBM Cloud can dynamically spin up worker nodes in another data center if one becomes unavailable. Autoscaling allows for maintaining service availability without human intervention, thus achieving the required resiliency.
How Autoscaling Works: Autoscaling automatically adjusts the number of worker nodes in a cluster based on predefined metrics such as CPU usage, memory usage, or other health checks. In the event of a zone failure, it can scale out to other available zones to maintain service continuity.
Importance of Autoscaling for Resiliency: By automatically provisioning new resources when needed, autoscaling reduces the risk of downtime and ensures consistent application performance.
Comparison with Other Options:
A (Load balancing): Distributes traffic but does not scale resources.
B (Network forwarding): Related to network routing, not scaling resources.
D (Init-node script automation): Involves initial setup, not dynamic scaling.
Reference:
IBM Cloud Kubernetes Service Autoscaling
IBM Cloud OpenShift Documentation
IBM Cloud Architect Exam Study Guide
NEW QUESTION # 104
What is used to configure virtual server instances (VSIs) with user data?
- A. cloud-config
- B. user-data
- C. server-config
- D. cloud-init
Answer: D
Explanation:
cloud-init is a widely used tool in IBM Cloud for initializing virtual server instances (VSIs) with user data. It allows users to provide configuration instructions or scripts that are executed when a new virtual server is created. cloud-init is highly versatile and supports a variety of use cases, such as installing software packages, setting up the environment, and managing users.
What is cloud-init? It is a standard method for cloud instance initialization in many cloud environments, including IBM Cloud. cloud-init reads the user data provided during the instance's launch and executes the required configurations, allowing for automated setup and customization.
Why use cloud-init? It enables users to automate the bootstrapping process of virtual servers by defining configurations that can range from simple commands to complex scripts. This reduces manual intervention, saves time, and ensures consistency in server setups.
Relationship with Other Options:
cloud-config (B) is a YAML file format used by cloud-init for providing configuration details. However, the term cloud-init refers to the actual tool used to process the user data.
server-config (C) and user-data (D) are not specific tools but terms that might describe parts of the cloud-init process.
Reference:
IBM Cloud Virtual Servers Documentation
IBM Cloud Architect Exam Study Guide
cloud-init Official Documentation
NEW QUESTION # 105
What is the function of the IBM Cloud File Storage Capacity Expansion feature?
- A. It is used by the IBM Cloud Management team to manage file storage capacity
- B. It is used by IBM Cloud Storage users to manage data flow
- C. It is used by the IBM Cloud Storage users to regenerate data storage that may have been deleted
- D. It is used by IBM Cloud Storage users to expand their file storage immediately
Answer: D
NEW QUESTION # 106
A client created their infrastructure using IBM Cloud Schematics and wants to horizontally scale their resources. How can this be achieved?
- A. Destroy all resources and recreate them
- B. Add necessary resources using CLI
- C. Destroy necessary resources using IBM Cloud Console
- D. Add necessary resources using IBM Cloud Schematics
Answer: D
Explanation:
IBM Cloud Schematics is an Infrastructure as Code (IaC) tool that uses Terraform to create, update, and manage cloud resources. To horizontally scale resources using IBM Cloud Schematics, a user should add the necessary resources (such as additional virtual machines or instances) by updating the Terraform configuration files and applying those changes through Schematics.
How Scaling is Achieved with IBM Cloud Schematics: Users can modify their existing infrastructure definition to add new resources or adjust their configurations. These modifications can be made in the Terraform files that are managed by Schematics. After the modifications, users apply the updated configuration to scale resources horizontally (e.g., adding more instances to a resource pool).
Why IBM Cloud Schematics is the Correct Choice: Schematics manages infrastructure as code, which is a more reliable, repeatable, and controlled way to manage changes and scale resources compared to manual methods such as CLI.
Comparison with Other Options:
A (Add using CLI): Possible but not as efficient or manageable as using Schematics.
C (Destroy resources using Console): Irrelevant to scaling.
D (Destroy all and recreate): Not a practical or recommended approach for scaling.
Reference:
IBM Cloud Schematics Documentation
IBM Cloud Architect Exam Study Guide
NEW QUESTION # 107
Which two are benefits of using the IBM Cloud Transit Gateway to connect IBM Cloud VPCs?
- A. Connectivity over the internet
- B. Default connectivity to services in multiple regions
- C. Connectivity between multiple VPCs and PowerVS
- D. Direct Link connectivity to multiple VPCs and classic networking
Answer: C,D
Explanation:
IBM Cloud Transit Gateway provides secure and scalable connectivity between multiple IBM Cloud VPCs (Virtual Private Clouds) and other IBM Cloud resources, including PowerVS (Power Virtual Servers) and classic networking environments.
Benefits:
Connectivity Between Multiple VPCs and PowerVS: Allows seamless networking between VPCs and PowerVS, supporting hybrid and multi-cloud architectures.
Direct Link Connectivity: Supports direct, high-speed private connectivity between VPCs and classic IBM Cloud infrastructure, enabling secure communication without traversing the public internet.
Comparison with Other Options:
A (Connectivity over the internet): Transit Gateway provides private connectivity, not public internet connectivity.
C (Default connectivity to services in multiple regions): Not a direct benefit of Transit Gateway, as regional connectivity may require additional configuration.
Reference:
IBM Cloud Transit Gateway Documentation
IBM Cloud Architect Exam Study Guide
NEW QUESTION # 108
Which IBM Cloud database service supports both relational and non-relational data querying?
- A. Databases for Db2
- B. Databases for etcd
- C. Databases for Redis
- D. Databases for PostgreSQL
Answer: A
Explanation:
Databases for Db2 is an IBM Cloud database service that supports both relational and non-relational data querying.
IBM Cloud Databases for Db2: Db2 on IBM Cloud is a managed database service that supports both relational and non-relational models. It provides JSON and SQL querying capabilities, allowing users to store and retrieve data in a flexible manner. This makes it capable of handling structured, semi-structured, and unstructured data, thus supporting both relational and non-relational data formats.
Support for Multiple Data Types: Db2's multi-model database capabilities enable the execution of SQL queries on relational data and the storage/retrieval of JSON documents, effectively allowing it to function in both relational and non-relational scenarios.
Reference from IBM Cloud Professional Architect Materials:
According to IBM's documentation on IBM Cloud Databases for Db2, it supports a broad range of workloads and use cases, including transactional (relational) and operational (non-relational) workloads, making it suitable for both SQL and NoSQL data models.
The other options are incorrect because:
A . Databases for Redis is a key-value store optimized for in-memory data.
C . Databases for PostgreSQL is strictly a relational database.
D . Databases for etcd is a key-value store primarily used for configuration management.
NEW QUESTION # 109
A banking customer has been advised that they should implement a Transit Gateway to provide connectivity between two VPCs running in IBM Cloud.
What are two advantages of this strategy compared to linking the two via the internet?
- A. There is a financial saving on data transfer rates to and from servers in every IBM Cloud data center across the private network, by avoiding bandwidth fees
- B. Such connections provide blockchain native services and will support shared ledger services
- C. The network traffic takes fewer hops, so there are fewer points of failure where network traffic might get dropped or disrupted
- D. The Transit Gateway is an enabler for Hybrid Cloud, allowing on-premises data warehouses to pull data from the VPC when scheduled
- E. Advanced encryption options are available enabling a greater degree of regulatory compliance for the workload
Answer: A,C
NEW QUESTION # 110
An architect is deploying an application to an IBM Cloud OpenShift cluster that requires persistent storage. Which two options provide storage that spans zones within a region?
- A. Object Storage
- B. Portworx
- C. NetApp on Tap
- D. Kubernetes local volume storage
- E. Block Storage
Answer: B,E
Explanation:
When deploying an application to an IBM Cloud OpenShift cluster that requires persistent storage across zones within a region, Portworx and Block Storage are viable options.
Portworx: This is a cloud-native storage solution designed for containerized environments like Kubernetes and OpenShift. Portworx provides highly available, scalable, and persistent storage that spans multiple zones within a region, ensuring data redundancy and availability.
Block Storage: IBM Cloud Block Storage provides persistent, high-performance storage that can be attached to virtual servers or containers. It is designed to offer cross-zone availability when configured with the necessary replication and redundancy settings.
Comparison with Other Options:
A (Kubernetes local volume storage): Not suitable for spanning multiple zones as it is tied to specific nodes.
B (Object Storage): Designed for storing large amounts of unstructured data; it is not typically used for persistent storage in Kubernetes.
D (NetApp on Tap): Primarily used for network-attached storage and might not be optimized for persistent storage across multiple zones in OpenShift.
Reference:
IBM Cloud Block Storage Documentation
Portworx on IBM Cloud
IBM Cloud Architect Exam Study Guide
NEW QUESTION # 111
In order to provide a highly resilient and highly available network with ECMP and diversity connections to IBM Cloud, how many Direct Link circuits should be recommended?
- A. 0
- B. 1
- C. 2
- D. 3
Answer: B
NEW QUESTION # 112
An organization wants to secure its exposed APIs running on IBM Cloud API Connect Reserved Instances using OAuth and OpenID.
Which capabilities can help in this case?
- A. IBM API Connect APIs must be secured by a third party as API Connect is responsible for managing the API life cycle only
- B. IBM API Connect creates user registries, but OAuth isn't allowed in API Connect, and this can be done by a third-party provider
- C. Authentication and authorization capabilities are offered by IBM API Connect itself
- D. IBM API Connect is providing authentication, but authorization can be provided by IAM
Answer: C
Explanation:
IBM API Connect offers both authentication and authorization capabilities to secure APIs using OAuth and OpenID.
IBM API Connect Security Features: IBM API Connect provides built-in capabilities for managing OAuth and OpenID Connect authentication and authorization flows. It allows users to define security policies that enforce these protocols to protect APIs.
Use of OAuth and OpenID: API Connect enables organizations to create user registries, apply security policies, and manage tokens for OAuth 2.0 and OpenID Connect, providing end-to-end security management for APIs.
Reference from IBM Cloud Professional Architect Materials:
IBM documentation on API Security in IBM API Connect confirms that API Connect handles both authentication and authorization for securing APIs.
Other options are incorrect:
B . IBM API Connect APIs must be secured by a third party is false; API Connect itself provides these capabilities.
C . IBM API Connect is providing authentication, but authorization can be provided by IAM is incorrect because API Connect manages both.
D . IBM API Connect creates user registries, but OAuth isn't allowed is incorrect; OAuth is fully supported.
NEW QUESTION # 113
How is access to the IBM Cloud Container Registry controlled?
- A. Watson service credentials
- B. An open-source system named Cloud Foundry
- C. IBM Cloud Identity and Access Management (IAM)
- D. A platform-built using Docker to run and manage your applications
Answer: C
NEW QUESTION # 114
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