The Certified Cloud Architect C90.06 exam, delivered by Arcitura Education, validates your ability to design, implement, and optimize cloud infrastructure and services. This exam is intended for cloud professionals who need to demonstrate practical expertise in cloud architecture principles and real-world deployment scenarios. The Cloud Architecture Lab component emphasizes hands-on problem-solving and architectural decision-making. This page provides a structured study roadmap, topic breakdown, and preparation strategies to help you build confidence and pass with clarity.
Use this topic map to guide your study for Arcitura Education C90.06 (Cloud Architecture Lab) within the Certified Cloud Architect path.
The C90.06 exam measures both conceptual knowledge and practical reasoning through a mix of question types designed to reflect how architects think and decide in production environments.
Questions progress in difficulty and emphasize practical application, ensuring that passing candidates can architect solutions that balance performance, cost, security, and operational requirements.
An efficient study plan maps the five core topics to weekly milestones, allowing time for deep understanding and practical reinforcement. Dedicate roughly 4-6 weeks to balanced coverage, allocating more time to Advanced Cloud Architecture and Cloud Architecture Lab since these require synthesis of earlier topics.
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Advanced Cloud Architecture and Cloud Architecture Lab together account for roughly 50-60% of the exam, reflecting the emphasis on complex design and hands-on problem-solving. Fundamental topics provide essential context but are tested less heavily. Allocate study time proportionally: invest more hours in advanced scenarios and lab simulations, and use fundamentals as a foundation to revisit when needed.
Fundamental Cloud Computing and Cloud Technology Concepts provide the building blocks; Fundamental Cloud Architecture teaches you to assemble them into simple solutions. Advanced Cloud Architecture shows how to layer in resilience, security, and cost controls for enterprise needs. Cloud Architecture Lab ties everything together by requiring you to implement decisions in realistic scenarios. In practice, you move between these layers constantly: understanding a technology (Concepts), knowing when to use it (Fundamentals), designing with it at scale (Advanced), and configuring it in production (Lab).
Hands-on experience is valuable but not mandatory to pass; the exam tests reasoning as much as procedural memory. Prioritize labs that cover multi-tier deployments, load balancing, auto-scaling, and disaster recovery scenarios, since these appear frequently in Advanced Cloud Architecture and Lab sections. If time is limited, focus on one major cloud platform's core services rather than spreading across multiple platforms.
Candidates often confuse service models (IaaS vs. PaaS vs. SaaS) or deployment models (public vs. hybrid) under time pressure. Others select technically correct answers that don't match the business constraint in a scenario (e.g., choosing the most secure option when cost is the stated priority). A third common error is overlooking trade-offs: the best architecture often balances multiple concerns, not maximizes one. Read scenarios carefully, identify constraints first, then evaluate options against all stated requirements.
In your final week, avoid learning new topics; instead, review weak areas identified in practice tests and re-read explanations for questions you missed. Spend 30 minutes daily on targeted drills rather than full-length mocks. Two days before the exam, take one final timed practice test to confirm pacing and build confidence. On the day before, review key definitions and architectural patterns without drilling; rest well the night before to arrive mentally sharp.
Cloud Service A accesses LUN Aon Cloud Storage Device A when it receives requests to process data from cloud consumers. Cloud Service A is hosted by Virtual Server A. The usage and administration portal can be used to access and manage the data in Cloud Storage Device B, which is also hosted by Virtual Server A. Virtual Server A is further hosted by Hypervisor A, which resides on Physical Server A. Virtual Server B is part of a virtual server cluster hosted by Hypervisor B. which resides on Physical Server B. Physical Server C is not in use and does not yet have an operating system installed.
Cloud Service Consumer A sends a request to Cloud Service A (1), which accesses data in LUN Aon Cloud Storage Device A (2). Cloud Consumer B uses the usage and administration portal to upload new data (3). The data is placed in LUN B on Cloud Storage Device B (4).
Cloud Service Consumer A and Cloud Consumer B belong to Organization A, which is leasing Virtual Server A and Virtual Server B from the cloud provider. Organization A also proceeds to lease Physical Server C as part of a new laaS agreement it signs with the cloud provider.
Organization A wants to provision Physical Server C with a number of legacy systems that cannot be deployed on virtual servers. However, when it attempts to do so, it realizes that its laaS package only provides Physical Server C as an out-of-the-box hardware server without anything installed on it. In order to deploy its legacy systems Organization A requires that Physical Server C first has an operating system installed, but it has no means of remotely provisioning Physical Server C with an operating system.
Organization A would like to deploy two of its legacy systems on Virtual Server A and to further extend Cloud Service A's functions so that it can be used as an external interface for cloud service consumers to access legacy system features. Additionally, Organization A would like to deploy three of its mission-critical legacy systems on Virtual Server B in order to take advantage of the additional performance and failover benefits provided by the virtual server cluster that Virtual Server B is part of. Each of the five legacy systems is comprised of dozens of components that need to be installed individually. Instead of manually installing each component of each legacy system, Organization A would like to customize workflows that can automate these deployment tasks.
During the first few months of working with its cloud-based legacy systems. Organization A receives a number of complaints from users that the cloud-based legacy systems are at times behaving erratically. However, when cloud resource administrators with Organization A review the cloud provider's reports that log usage, downtime and other runtime characteristics, they do not find any indication of erratic behavior or any other comparable problems. After some further investigation, the cloud resource administrators determine that the nature of the erratic behavior is specific to proprietary features of the legacy systems and is therefore not monitored or logged by the cloud provider's standard audit monitor, pay-per-use monitor or automated scaling listener.
The cloud resource administrators recommend that a new service agent be developed with features customized to monitor the legacy systems.
Which of the following statements provides a solution that can address Organization A's requirements?
Virtual Server A is hosted by Hypervisor A, which resides on Physical Server A. Virtual Server A
hosts Cloud Services A and B. Virtual Server B is hosted by Hypervisor B on Physical Server B.
Physical Server C is currently not being used.
Cloud Service Consumer A sends a request to Cloud Service A that is intercepted by Pay-Per-Use
Monitor A
(1), which collects billing-related usage data that is later forwarded to the billing management system
(2). Cloud Service A receives and processes the request
(3). Cloud Consumer B accesses the usage and administration portal
(4) to access data on Cloud Storage Device B. Pay-Per-Use Monitor B intercepts the data access to collect and forward billing-related usage data to the billing management system
(5). Cloud Storage Device B processes the data access request from Cloud Consumer B
(6).
Cloud Service Consumer A and Cloud Consumer B belong to Organization A
Cloud Storage Device B is accessed on a regular basis by Cloud Consumer B. However,
managers at Organization A receive reports from their cloud resource administrator that Cloud Storage Device B is unavailable for longer periods and more frequently than what they expected, based on the SLA availability guarantee they were provided by the cloud provider. This results in wasted time when the cloud resource administrator attempts to upload or access data and then discovers that Cloud Storage Device B is unavailable. The cloud resource administrator requires a means of checking for the availability of Cloud Storage Device B prior to attempting access.
As the workload increases on Physical Server B, Cloud Consumer B begins to receive runtime exceptions and degraded data access performance from Cloud Storage Device B. It is determined that the cause of the deteriorating performance is a network bottleneck that has formed on Physical Server B due to its bandwidth capacity being reached, primarily because of other cloud consumer organizations also sharing its hosted IT resources.
Organization A receives a monthly billing statement that shows the charges for the total usage of Cloud Service A during that period. However, Organization A requires a more detailed breakdown of the types of usage and their associated costs. For example, Cloud Service Consumer A can issue requests for information by employees within Organization A and on behalf of clients of Organization A. Organization A requires a breakdown of the usage costs incurred on behalf of clients so that it can bill the clients for this usage accordingly. The cloud provider informs Organization A that it has no existing monitor that can collect and log this detailed usage information and suggests that Organization A customize its own monitor.
Which of the following statements lists the patterns that can be applied to solve these three problems?
Physical Server A hosts Hypervisor A which hosts Virtual Server A, Virtual Server B and an active cluster comprised of three virtual servers. Virtual Server A hosts Ready-Made Environment A. Ready-Made Environment A uses Cloud Storage Device A to store data related to the ready-made environment and its users. Cloud Service A is hosted by a high-availability (HA) virtual server cluster. Hypervisor A is a cluster-enabled hypervisor.
Developers access Ready-Made Environment A to work on the development of a new solution (1).
During this usage. Ready-Made Environment A regularly reads and writes data to Cloud Storage Device A (2). Cloud Service Consumer B accesses Cloud Service A (3). Cloud Service A queries data residing in Cloud Storage Device A in response to processing requests from Cloud Service Consumer B (4).
Hypervisor A is made part of a cluster of hypetvisors. Ready-Made Environment A, which is still hosted by Virtual Server Aon Hypervisor A, subsequently becomes unexpectedly unavailable. It then takes twenty minutes to pass before Virtual Server A and Ready-Made Environment A become available again on Hypervisor B (a hypervisor that is also part of the hypervisor cluster). This delay is considered unacceptable by Cloud Consumer A. Furthermore, after being relocated
to Hypervisor B, Virtual Server A is unable to connect to the network. By the time the cloud provider rectifies this second problem, Cloud Consumer A experiences a total of two hours of downtime.
Which of the following statements describes a solution that can minimize or entirely avoid a delay for the runtime relocation of Ready-Made Environment A?
Cloud Sen/ice A is hosted by Virtual Server A, which is hosted by Hypervisor A on Physical Server A. Cloud Service B is hosted by Virtual Server B. Virtual Server C hosts Cloud Services C and D.
Virtual Server B and Virtual Server C are hosted by Hypervisor B on Physical Server B.
Cloud Service Consumer A accesses Cloud Service A (1). Cloud Service Consumer B accesses Cloud Service A (2). Cloud Service Consumer C accesses Cloud Service A (3) and then accesses Cloud Service B (4).
Cloud Service Consumers A, B and C simultaneously access Cloud Service A. Cloud Service Consumer C receives a runtime exception and its request for access is rejected. It is determined that Cloud Service Consumer C attempted to upload a large amount of input data for Cloud Service A, which exceeded the bandwidth threshold of the virtual network. The cloud architecture needs to be improved to avoid this from happening again.
Cloud Service Consumer C's repeated access of Cloud Service B imposes workloads that are large and highly unpredictable. After some time, Cloud Service B begins to delay its responses and sometimes times out entirely. The cloud resource administrator discovers that Virtual Server B is unstable and close to failure primarily because its CPU and memory resources are being used to their maximum capacity.
Cloud Services C and D are being positioned as SaaS products for use by a range of cloud consumer organizations. After their initial release, they begin to quickly use up the available memory in Virtual Server C, primarily because of the large amounts of state and session data they need to place into memory for extended periods.
Which of the following statements lists the patterns that can be applied to solve these three requirements and problems?
Cloud Service A requires access to Cloud Storage Device A, which contains LUNs A and B. Cloud Service A is hosted by Virtual Server A, which resides on Hypervisor A on Physical Server A.
Virtual Server B hosts Cloud Service B and Cloud Service C.
Cloud Service Consumer A accesses Cloud Service A (1), which then accesses LUN A or B on Cloud Storage Device A (2). After receiving the requested data from Cloud Service A, Cloud Service Consumer A forwards the data to Cloud Service B (3), which then writes it to Cloud Storage Device B (4).
Cloud Service Consumer A belongs to Organization A,
Organization A uses LUN A and LUN B on Cloud Storage Device A to store their important client account data. Cloud Storage Device A is a low-performance cloud storage device, which begins to cause performance issues as more data is added to LUNs A and B and as Cloud Service Consumer A performs data access requests more frequently. Organization A asks that its cloud architecture be upgraded to process increased quantities of data and higher volumes of data requests.
Organization A has been leasing a PaaS environment that it used to build Cloud Service A, which it would like to make available to the general public. Organization A needs to establish a system capable of monitoring usage of Cloud Service A for billing purposes.
The cloud provider is using a usage data collection and reporting system that gathers information on Organization A's hosted IT resources approximately ten hours after the time of usage. One day, Organization A attempts to retrieve information on whether Virtual Server B has available Cloud Service C instances. They discover that they are unable to obtain the current status of Virtual Server B. Organization A demands a system that provides instant availability reporting.
Which of the following statements lists the patterns that can be applied to solve these three requirements and problems?
