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Alibaba Cloud CAP-C01 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Building Enterprise-grade Networks on Alibaba Cloud18%- Cloud Networking Deep Dive
  • 1. Virtual Private Cloud (VPC)
    • 2. Network Connectivity and Traffic Management
      • 3. Enterprise and Hybrid Network Architecture
        Topic 2: Delivering Services and Content on Alibaba Cloud12%- Delivering Services and Content on Alibaba Cloud
        • 1. Global Accelerator and Edge Services
          • 2. Content Delivery Network (CDN)
            • 3. Application and Service Delivery
              Topic 3: Securing Workloads on Alibaba Cloud22%- Alibaba Cloud Security Deep Dive
              • 1. Data Protection and Security Compliance
                • 2. Identity and Access Management
                  • 3. Network and Application Security
                    Topic 4: Building Highly Available, Performant Cloud Architecture22%- Leveling up Your Core Infrastructure
                    • 1. High Availability and Disaster Recovery
                      • 2. Load Balancing and Application Architecture
                        • 3. Performance and Scalability
                          Topic 5: Core Infrastructure Deep Dive26%- Best Practices for Database Services
                          • 1. ApsaraDB RDS and PolarDB
                            • 2. AnalyticDB and Other Database Services
                              - Core Compute Infrastructure Deep Dive
                              • 1. Auto Scaling and Compute Resource Management
                                • 2. Elastic Compute Service (ECS)
                                  - Core Storage Infrastructure Deep Dive
                                  • 1. Elastic Block Storage and File Storage
                                    • 2. Object Storage Service (OSS)

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                                      Alibaba Cloud Certified Professional: Cloud Architect Sample Questions (Q51-Q56):

                                      NEW QUESTION # 51
                                      Belinda is designing an API-driven cloud communications platform. The application is hosted on Elastic Compute Service (ECS) instances behind a Network Load Balancer (NLB). It leverages API Gateway to serve public-facing APIs to customers. For security reasons, Belinda wants to protect the platform against web exploits like SQL injection and large, sophisticated DDoS attacks.
                                      Which combination of solutions provides the MOST protection? (Correct answers: 2)

                                      Answer: A,B

                                      Explanation:
                                      The threats described exist at different layers, so the architecture should apply layered protection. WAF is the correct control for public HTTP/API traffic because it analyzes application-layer requests and blocks threats such as SQL injection, cross-site scripting, command injection, brute-force attacks, and other OWASP-style attacks. Alibaba Cloud explicitly supports integrating WAF with API Gateway and recommends disabling direct access paths afterward so clients cannot bypass WAF.
                                      Large DDoS attacks require a dedicated volumetric mitigation service. Anti-DDoS Proxy scrubs malicious network and transport-layer traffic before clean traffic is forwarded toward the application infrastructure.
                                      Alibaba Cloud ' s Anti-DDoS architecture supports protected services behind Server Load Balancer resources and provides port-forwarding mechanisms for non-HTTP workloads.
                                      Alibaba Cloud specifically recommends combining Anti-DDoS and WAF when an application needs protection against both large volumetric attacks and sophisticated application-layer exploits.
                                      WAF should protect the HTTP/API application boundary rather than being treated as a general Layer-4 NLB firewall. Security Center provides workload security and posture management, while basic DDoS protection alone is less suitable for the question ' s explicitly stated large and sophisticated attacks.
                                      Study Guide reference: Securing Workloads on Alibaba Cloud - WAF, Anti-DDoS, API Gateway security, and defense-in-depth.


                                      NEW QUESTION # 52
                                      Jason ' s company is running a traditional web application on Alibaba Cloud ECS instances. The company wants to improve efficiency by refactoring the application as microservices that run on containers. The application must be deployed across multiple environments: production and testing. Load for the application is variable, but the minimum load and maximum load are known. As a Cloud Architect, you have been assigned the job of designing the updated application with a serverless architecture that minimizes operational complexity.
                                      Which solution will meet these requirements MOST cost-effectively?

                                      Answer: D

                                      Explanation:
                                      Serverless App Engine is the strongest fit because it provides an application-oriented serverless platform specifically intended for hosting containerized and microservice applications without requiring the organization to administer Kubernetes clusters or ECS infrastructure. SAE can deploy applications directly from container images, including images stored in Alibaba Cloud Container Registry, and automatically manages provisioning, application lifecycle, scaling, monitoring, and underlying resources.
                                      SAE namespaces also provide logical isolation for development, testing, and production environments. This directly addresses the requirement for separate production and testing deployments while avoiding the overhead of maintaining separate ACK clusters.
                                      SAE integrates with Application Load Balancer for Layer 7 ingress and routing. ALB can expose SAE applications and route traffic to the appropriate backend application instances.
                                      ACK Serverless removes worker-node management but still introduces Kubernetes objects and cluster administration. ACK Managed requires even greater cluster administration. Function Compute is optimized for functions and event-driven processing rather than straightforward migration of a multi-service container application.
                                      Study Guide reference: Core Infrastructure Deep Dive - serverless compute, SAE, containerized applications, microservices, and application scaling.


                                      NEW QUESTION # 53
                                      Clash for Victory is a popular online game that is hosted on Alibaba Cloud. As latency can have a huge impact on gameplay, the developers for the game want to implement a mechanism to route all requests to the closest access point, monitor the health of the game, and redirect traffic to healthy backend servers.
                                      The game is deployed in multiple regions on Elastic Compute Service (ECS) instances that are part of Auto Scaling groups configured behind Application Load Balancers (ALBs).
                                      As a Cloud Architect, what course of action would you take?

                                      Answer: B

                                      Explanation:
                                      Global Accelerator is designed for precisely this class of global interactive application. Clients connect through Alibaba Cloud ' s nearby acceleration access points, after which traffic traverses Alibaba Cloud ' s optimized global network toward the most appropriate backend region. This reduces Internet routing variability and improves end-to-end latency for latency-sensitive workloads such as gaming.
                                      GA listeners define the application protocol and ports, while endpoint groups represent backend deployments in different regions. With intelligent routing, GA can select a nearby healthy endpoint group and forward requests accordingly. Alibaba Cloud also provides endpoint health checks; when an endpoint becomes unhealthy, new requests can automatically be directed to healthy endpoints.
                                      CDN is highly effective for static cacheable content but is not the correct primary mechanism for arbitrary real-time game traffic and regional backend health-based routing. RDS and Tair improve application data performance but do not solve global network acceleration.
                                      Therefore, GA in front of regional ALBs provides the correct architecture: nearest-entry acceleration, Alibaba Cloud backbone transport, regional endpoint groups, health monitoring, and failover.
                                      Study Guide reference: Delivering Services and Content on Alibaba Cloud - Global Accelerator, ALB, multi-region traffic management, and high availability.


                                      NEW QUESTION # 54
                                      A retail chain is utilizing Alibaba Cloud ' s PolarDB to manage its inventory and sales databases. They need to ensure that their SQL queries have minimal impact on their production workload while enabling data analysts to run complex analytical queries.
                                      How can the retail chain optimize their database operations for both transactional and analytical workloads?
                                      (Correct answers: 2)

                                      Answer: B,C

                                      Explanation:
                                      Option B reduces interference between transaction processing and read-heavy workloads inside PolarDB.
                                      PolarDB ' s read/write splitting automatically routes writes to the primary node while distributing eligible reads across read-only nodes. This allows reporting and ordinary SELECT traffic to consume separate compute capacity instead of competing with critical transactional writes on the primary node. Alibaba Cloud specifically identifies reporting, analytics, and read-heavy applications as appropriate read/write-splitting scenarios.
                                      Option D provides stronger isolation for computationally expensive analytics. DTS can continuously synchronize PolarDB for MySQL data into MaxCompute using initial full synchronization followed by ongoing incremental change capture. Analysts can then execute large-scale analytical workloads against MaxCompute without placing those queries on the production transactional database.
                                      Running queries on ECS does not inherently remove load from PolarDB because the SQL operations would still execute against the database. Introducing MongoDB merely to execute analytical queries creates a second database technology without an appropriate replication or analytical architecture.
                                      Together, PolarDB read/write splitting optimizes operational read traffic while DTS-to-MaxCompute isolates heavyweight analytical processing, producing an effective HTAP-style separation of concerns.
                                      Study Guide reference: Core Infrastructure Deep Dive - PolarDB, read/write splitting, DTS, MaxCompute, and analytical workload offloading.


                                      NEW QUESTION # 55
                                      A fintech startup is building a transaction monitoring application using Alibaba Cloud Container Service for Kubernetes (ACK). They are debating between adopting a dedicated cluster setup versus a serverless architecture to ensure scalability and cost efficiency.
                                      What factors should they consider to decide between a serverless or a dedicated ACK deployment? (Correct answers: 2)

                                      Answer: B,C

                                      Explanation:
                                      The fundamental decision is the trade-off between infrastructure control and infrastructure abstraction.
                                      A conventional managed/dedicated Kubernetes environment gives architects greater control over node pools, instance types, resource placement, operating-system configuration, network topology, specialized hardware, and related infrastructure choices. This makes Option B appropriate when a regulated fintech application requires exact control over the compute and networking environment.
                                      ACK Serverless takes the opposite approach. Alibaba Cloud manages the underlying node infrastructure, and workloads run without customers purchasing or maintaining worker nodes. Alibaba ' s documentation states that ACK Serverless uses pay-as-you-go resource consumption and can scale pods rapidly, making it particularly appropriate for variable or unpredictable workloads.
                                      Alibaba Cloud also explicitly describes ACK Serverless as Kubernetes-compatible infrastructure where customers focus on application development while paying according to CPU and memory resources requested by workloads.
                                      Option A is too absolute: dedicated Kubernetes infrastructure does not inherently guarantee lower application latency; latency depends on workload, topology, instance configuration, networking, and scaling behavior.
                                      Option C is also incorrect because both managed and serverless ACK environments integrate deeply with Alibaba Cloud networking services.
                                      Study Guide reference: Core Infrastructure Deep Dive - ACK deployment models, serverless containers, cluster control, elasticity, and cost optimization.


                                      NEW QUESTION # 56
                                      ......

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