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

The capabilities of IBM Cloud Block Storage for VPC are:

Stores Volume Data Redundantly Across Multiple Physical Disks in an Availability Zone: IBM Cloud

Block Storage is designed to provide redundancy and durability by storing data across multiple

physical disks within the same availability zone. This ensures data availability and protection against

disk failures.

Provides Primary Boot Volumes and Secondary Data Volumes: Block Storage in IBM Cloud VPC can be

used as both primary boot volumes for the operating system and secondary data volumes for storing

additional data.

Reference from IBM Cloud Professional Architect Materials:

IBM documentation on IBM Cloud Block Storage for VPC outlines these capabilities, including

redundant data storage and support for both boot and data volumes.

Other options are incorrect:

A . Provides a highly available, durable, and secure platform for storing unstructured data describes

object storage, not block storage.

C . Provides storage in a separate zone is incorrect; storage is typically within the same zone as

compute resources.

E . Provides fast, flexible network-attached, NFS-based storage describes a different type of storage.

Therefore, the correct answers are B. Stores volume data redundantly across multiple physical disks

in an availability zone and D. Provides primary boot volumes and secondary data volumes.

Thank you for your visit.

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

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.

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

Volume Replication is a feature of IBM Cloud File Storage (Classic).

IBM Cloud File Storage (Classic): This service provides block-level storage that can be provisioned

with different performance tiers. Volume replication allows for synchronous replication of data

across different availability zones within a region, ensuring high availability and disaster recovery.

Advantages of Volume Replication: By replicating data, IBM Cloud File Storage (Classic) offers

enhanced data durability and continuity in case of an outage or failure at a single storage site.

Reference from IBM Cloud Professional Architect Materials:

According to IBM's documentation on File Storage, volume replication is one of the key features for

enabling high availability.

Other options are incorrect:

A . Adjustable Volumes is not a primary feature of the classic version.

C . Jumbo Frames relates to networking, not storage.

D . Fixed IOPS contradicts the flexible performance tiers of IBM Cloud File Storage (Classic).

IBM Cloud offers two content delivery networks (CDNs): CDN and Cloud Internet Services (CIS).

These two offerings are underpinned by the networks of Akamai and Cloudflare, respectively.

IBM Cloud CDN: IBM Cloud uses Akamai’s global network for its Content Delivery Network (CDN)

service. Akamai is one of the largest and most trusted CDN providers globally, known for its

expansive network that delivers content with low latency and high availability.

IBM Cloud Internet Services (CIS): This service is built on Cloudflare's global network and offers a

suite of services, including a CDN, DDoS protection, web application firewall (WAF), and more.

Cloudflare's network spans many data centers worldwide, optimizing traffic delivery and securing

applications.

Comparison with Other Options:

Limelight and KeyCDN (A), CDN 77 and CloudFront (C), Cloudflare and Fastly (D): These are other

CDN providers but do not represent the networks underpinning IBM Cloud's CDN offerings.

Reference:

IBM Cloud CDN Documentation

IBM Cloud Internet Services (CIS) Documentation

IBM Cloud Architect Exam Study Guide

An IBM Cloud Virtual Private Endpoint (VPE) provides a connection point from a Virtual Private Cloud

(VPC) to other IBM Cloud services. This allows secure, private communication between resources

within a VPC and IBM Cloud services without traversing the public internet, enhancing security and

performance.

What is a Virtual Private Endpoint? VPE is a mechanism that enables private connections from a VPC

to supported IBM Cloud services such as databases, object storage, and others. It eliminates the

need for public IP addresses and reduces the exposure to potential attacks over the public internet.

Why This Option Describes VPE: It clearly explains that VPE is for connecting VPC resources to other

IBM Cloud services, fitting the purpose of secure, internal cloud communication.

Comparison with Other Options:

A (Classic to microservices), C (VPC to on-premises), D (Classic to on-premises): None accurately

describe the function of a Virtual Private Endpoint in IBM Cloud.

Reference:

IBM Cloud VPC Virtual Private Endpoints Documentation

IBM Cloud Networking Services

IBM Cloud Architect Exam Study Guide

The best IBM Cloud Object Storage resiliency option for a use case where data must remain in-

country and locally restricted is Single Data Center.

Single Data Center: This option ensures that all data is stored within a single geographic location,

which complies with regulations or requirements that mandate data residency within a specific

country. By using a single data center, the data remains locally restricted.

Data Residency Requirements: When an application has strict regulatory or compliance requirements

that specify data must not leave the country, the Single Data Center option ensures that data does

not cross geographic boundaries.

Reference from IBM Cloud Professional Architect Materials:

IBM documentation on IBM Cloud Object Storage Resiliency Options states that the Single Data

Center option is best suited for scenarios where data residency is a concern.

Other options are incorrect:

A . Cross Zone,

C. Cross Region, and

D. Multizone involve data being stored across multiple locations

or regions, which would not meet the requirement of keeping the data locally restricted.

IBM Cloud Log Analysis provides several search capabilities to help users analyze log data efficiently:

Simple Search: This allows users to perform straightforward keyword searches across log data. It

helps find specific entries or patterns without needing complex syntax or operators.

Wildcard Search: This feature allows users to perform searches using wildcards, enabling more

flexible pattern matching. It is particularly useful when searching for entries that match a certain

pattern or partial data.

Comparison with Other Options:

B (SQL search): Not a feature of IBM Cloud Log Analysis.

D (Field search): IBM Cloud Log Analysis supports field-specific searches, but this option was not one

of the correct ones.

E (Multi search): Not explicitly a feature of IBM Cloud Log Analysis.

Reference:

IBM Cloud Log Analysis Documentation

IBM Cloud Architect Exam Study Guide