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Alibaba Cloud CAP-C01 Exam Syllabus Topics:

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

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                                      Alibaba Cloud Certified Professional: Cloud Architect Sample Questions (Q45-Q50):

                                      NEW QUESTION # 45
                                      An e-commerce company needs to execute a daily scheduled job to aggregate and filter sales records stored in an Alibaba Cloud OSS bucket. Each object can be up to 10 GB in size. The task may take up to an hour to run with pre-determined CPU and memory requirements. The goal is to reduce operational management efforts.
                                      Identify an appropriate architecture using Alibaba Cloud services to perform the scheduled job efficiently.

                                      Answer: B

                                      Explanation:
                                      Function Compute with EventBridge provides the lowest-management architecture among the choices.
                                      Function Compute is a fully managed, event-driven compute platform: Alibaba Cloud provisions and scales the required execution infrastructure automatically, and billing is based on configured resources and execution duration. This removes the operational burden of maintaining ECS instances or an ACK cluster.
                                      The stated execution time of up to one hour is supported. Current Function Compute documentation permits individual function executions of up to 24 hours, so the job duration does not require a container cluster merely because it exceeds traditional short-function runtimes.
                                      EventBridge supports recurring time-triggered events using fixed schedules or cron expressions and is suitable for scheduled batch-processing workflows. Function Compute also integrates directly with EventBridge-based cloud-product event triggers.
                                      Options A and C introduce Kubernetes control and workload-management complexity that is unnecessary for a single scheduled processing job. Option B is less precise because Serverless Workflow provides orchestration rather than being required to perform the actual computation.
                                      Therefore, EventBridge schedules the daily invocation and Function Compute performs the OSS-backed processing without persistent infrastructure.
                                      Study Guide reference: Delivering Services on Alibaba Cloud; serverless architecture and event-driven application delivery.


                                      NEW QUESTION # 46
                                      Kenneth plans to deploy a real-time data processing platform on Alibaba Cloud to support his company ' s Internet-of-Things (IoT) business. The platform will handle millions of sensor data points collected from smart devices globally. Kenneth needs to ensure high throughput and low latency for data ingestion and analysis.
                                      Which solutions should Kenneth consider integrating into the platform architecture to meet his expected performance requirements? (Correct answers: 3)

                                      Answer: A,C,D

                                      Explanation:
                                      Time Series Database is specifically designed for timestamped telemetry generated by IoT devices, monitoring systems, and industrial equipment. Alibaba Cloud identifies IoT device monitoring as a core TSDB scenario, including continuously collecting, storing, analyzing, and querying device-status and business-event data in real time.
                                      ApsaraMQ for Kafka provides the high-throughput ingestion and buffering layer. It is a managed distributed Kafka platform intended for real-time data pipelines, monitoring-data aggregation, log collection, streaming processing, and large-scale analytics. Its partitioned distributed architecture lets producers ingest very large event volumes while downstream consumers process the streams independently.
                                      Function Compute supplies elastic event processing without persistent compute servers. Alibaba Cloud supports ApsaraMQ for Kafka triggers that invoke Function Compute automatically whenever new records arrive in Kafka topics. This enables functions to perform transformations, filtering, enrichment, alert generation, or routing in near real time.
                                      EMR is valuable for Hadoop/Spark-style batch analytics, but the question specifically emphasizes low-latency real-time ingestion and analysis. It therefore does not replace the streaming components selected above.
                                      Study Guide reference: Core Infrastructure Deep Dive - IoT telemetry, TSDB, ApsaraMQ for Kafka, Function Compute, and real-time streaming architectures.


                                      NEW QUESTION # 47
                                      A company is designing an application. The application uses a Function Compute function to receive information through API Gateway and to store the information in an ApsaraDB RDS for PostgreSQL database.
                                      During the proof-of-concept stage, the company noticed that the volume and velocity of data is very high, and they had to increase the Function Compute quotas significantly. Even with the increased quotas, they would sometimes lose data. The company has hired Javert, a Cloud Architect, to recommend a new design to improve scalability and minimize the configuration effort.
                                      Which of the following solutions will meet these requirements?

                                      Answer: C

                                      Explanation:
                                      The application needs asynchronous decoupling between high-volume ingestion and database writes. Simple Message Queue provides exactly this load-leveling pattern. The first Function Compute function can acknowledge incoming requests quickly and place each item into SMQ. A second function consumes the queued messages and writes them to RDS at a rate the database can sustain.
                                      SMQ is a distributed managed messaging service specifically designed to decouple producers and consumers.
                                      Alibaba Cloud identifies traffic-spike buffering, asynchronous processing, and independent component scaling as core SMQ use cases. Queue messages are delivered at least once during their validity period, significantly improving durability compared with directly coupling every incoming API request to a database write.
                                      Function Compute also integrates directly with SMQ queues and topics as event sources, reducing custom integration and infrastructure management.
                                      Kafka could also provide durable asynchronous messaging, but it is a more elaborate streaming platform than necessary for this workload and therefore carries additional configuration complexity. Moving to ECS reintroduces server administration, while replacing RDS does not solve the ingestion decoupling problem.
                                      Study Guide reference: Core Infrastructure Deep Dive - Function Compute, messaging architectures, asynchronous processing, and scalable application integration.


                                      NEW QUESTION # 48
                                      A healthcare organization is deploying its patient management system on Alibaba Cloud. They require:
                                      * Secure, private connectivity between their on-premises servers and Alibaba Cloud VPCs.
                                      * Automated failover to ensure connectivity during outages.
                                      * Scalable bandwidth to handle varying data loads without manual intervention.
                                      Which Alibaba Cloud service should the organization implement to meet these requirements?

                                      Answer: D

                                      Explanation:
                                      Express Connect with redundant connections is the strongest match for a mission-critical hybrid network requiring private connectivity, high availability, and enterprise-scale bandwidth. Express Connect establishes dedicated, secure, high-speed private connectivity between an on-premises data center and Alibaba Cloud VPC resources rather than transporting application traffic over the public Internet.
                                      Alibaba Cloud ' s current Express Connect guidance identifies disaster recovery and high availability as primary enterprise scenarios. Redundant circuits and connection paths can protect connectivity against failures involving leased lines, devices, fiber cuts, and access points. Alibaba also identifies highly elastic, high-availability architectures based on dedicated connectivity and ECMP for environments with significant traffic requirements.
                                      VPC peering connects VPC networks and does not independently provide an on-premises dedicated access circuit. VPN Gateway can connect an on-premises network to a VPC securely, but it uses Internet-based VPN transport and is generally not the strongest option where dedicated private connectivity, large scalable bandwidth, and robust path redundancy are explicit requirements. NAT Gateway provides address translation and Internet access functions rather than private hybrid connectivity.
                                      Therefore, redundant Express Connect paths provide the enterprise-grade hybrid networking characteristics described.
                                      Study Guide reference: Building Enterprise-grade Networks on Alibaba Cloud; hybrid connectivity, resilient networking, and Express Connect design.


                                      NEW QUESTION # 49
                                      An insurance company stores critical data in an Object Storage Service (OSS) bucket. They want to protect the data from accidental deletion.
                                      As a Cloud Architect, what do you propose that the company does to protect the data from accidental deletion?

                                      Answer: A

                                      Explanation:
                                      OSS versioning is specifically intended to protect objects from unintended deletions and overwrites. When versioning is enabled, OSS retains historical versions of an object. A normal delete operation creates a delete marker instead of permanently destroying all existing versions, allowing an administrator to restore a previous version when required.
                                      Alibaba Cloud explicitly recommends versioning as a protection mechanism against accidental deletion or overwriting. Its current documentation states that, after versioning is enabled, accidentally deleted or overwritten content remains available as historical versions that can subsequently be restored.
                                      Encryption protects confidentiality of stored data but does not provide logical deletion recovery. A private bucket ACL reduces unauthorized access but does not stop an authorized administrator or application from deleting an object accidentally. Lifecycle rules automate transitions or deletion according to defined policies; improperly configured lifecycle rules can themselves delete data, so they are not the primary protection mechanism requested here.
                                      For particularly critical workloads, versioning can be supplemented with backup or carefully designed cross- region replication, but among the four choices, enabling OSS versioning directly addresses accidental deletion and provides recovery capability.
                                      Study Guide reference: Core Storage Infrastructure Deep Dive; data durability, protection, and OSS object- management mechanisms.


                                      NEW QUESTION # 50
                                      ......

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