CAP-C01 Exam Fee, Detailed CAP-C01 Study Dumps

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Alibaba Cloud CAP-C01 Exam Syllabus Topics:

SectionWeightObjectives
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
        Building Highly Available, Performant Cloud Architecture22%- Leveling up Your Core Infrastructure
        • 1. Performance and Scalability
          • 2. Load Balancing and Application Architecture
            • 3. High Availability and Disaster Recovery
              Core Infrastructure Deep Dive26%- Core Storage Infrastructure Deep Dive
              • 1. Object Storage Service (OSS)
                • 2. Elastic Block Storage and File Storage
                  - Core Compute Infrastructure Deep Dive
                  • 1. Elastic Compute Service (ECS)
                    • 2. Auto Scaling and Compute Resource Management
                      - Best Practices for Database Services
                      • 1. ApsaraDB RDS and PolarDB
                        • 2. AnalyticDB and Other Database Services
                          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
                                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

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                                      Alibaba Cloud Certified Professional: Cloud Architect Sample Questions (Q35-Q40):

                                      NEW QUESTION # 35
                                      Clarence runs a technology services company that uses ApsaraDB RDS. The company wants to streamline their database management and set up a robust access control structure.
                                      Which of the following solutions provides the required functionality with the LEAST operational overhead?

                                      Answer: D

                                      Explanation:
                                      Data Management Service is specifically designed to centralize database administration, authorization, and governance. Its permission model provides fine-grained control over instances, databases, tables, columns, rows, and sensitive data. Administrators can control logon, query, export, and change privileges while maintaining centralized governance rather than manually coordinating several independent services.
                                      DMS is also appropriate where the organization needs auditable database access. Alibaba Cloud explicitly describes DMS authorization scenarios that include controlling RDS access and auditing employee data access.
                                      RAM controls permissions to Alibaba Cloud resources and APIs, but combining RAM with ActionTrail would require multiple mechanisms and would not provide DMS ' s database-object-level permission model.
                                      An RDS IP whitelist is useful as a network access restriction but cannot express granular user permissions or provide centralized database governance. WAF protects HTTP/HTTPS applications and is not the appropriate control plane for direct RDS database authorization.
                                      DMS therefore provides the required access control and audit functionality with the lowest operational complexity by consolidating database security administration into a purpose-built managed service.
                                      Study Guide reference: Securing Workloads on Alibaba Cloud - DMS access control, database governance, RDS security, and auditing.


                                      NEW QUESTION # 36
                                      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: A,B

                                      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 # 37
                                      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,B,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 # 38
                                      A company is building a big data analytics platform on Alibaba Cloud to process and analyze petabytes of data. They require a highly scalable storage solution that can handle both structured and unstructured data, and a processing framework that supports batch and interactive queries.
                                      Which combination of Alibaba Cloud services should the company use to build this platform? (Correct answers: 3)

                                      Answer: C,D,E

                                      Explanation:
                                      OSS, E-MapReduce, and MaxCompute collectively provide the strongest large-scale analytics architecture among the listed services.
                                      OSS supplies the scalable data-lake storage layer. Alibaba Cloud describes OSS-based data lakes as capable of retaining structured, semi-structured, and unstructured datasets at very large scale while decoupling storage capacity from compute resources. OSS storage can scale independently into exabyte-scale environments.
                                      E-MapReduce provides managed big-data processing based on ecosystems such as Hadoop and Spark and integrates directly with OSS. EMR DataLake configurations support Spark and Hive for batch workloads and Presto/Trino for interactive SQL analysis, making EMR highly appropriate for workloads requiring both scheduled processing and ad-hoc querying.
                                      MaxCompute supplies a massively scalable managed data-warehouse and analytical processing layer. Alibaba Cloud also supports architectures where MaxCompute processes structured analytical datasets while OSS provides the underlying flexible data-lake storage.
                                      PolarDB is an operational relational database and is not intended to act as the primary petabyte-scale data-lake processing platform. Elasticsearch is valuable for search and log analytics but does not replace the combination of OSS, EMR, and MaxCompute for generalized big-data processing.
                                      Study Guide reference: Core Infrastructure Deep Dive - OSS data lakes, EMR, MaxCompute, distributed analytics, batch processing, and interactive query architectures.


                                      NEW QUESTION # 39
                                      Yolanda works for a software company that serves customers all around the globe. They want to ensure that all communications between users and the application are encrypted. They also want to automate the deployment of SSL/TLS certificates across multiple backend servers to streamline operations and maintain high security standards.
                                      Which combination of Alibaba Cloud services should the company implement to achieve this goal MOST effectively? (Correct answers: 2)

                                      Answer: B,D

                                      Explanation:
                                      Server Load Balancer SSL termination and Certificate Management Service provide the most direct combination for centralized TLS protection and certificate lifecycle management.
                                      With SSL/TLS termination on the load-balancing layer, clients establish encrypted HTTPS or SSL connections to the SLB service. Encryption processing is performed centrally rather than requiring every backend instance to independently process incoming TLS handshakes. This simplifies the backend architecture and centralizes certificate configuration.
                                      Certificate Management Service is specifically designed for issuing, importing, storing, monitoring, deploying, and renewing SSL certificates. Alibaba Cloud currently supports centralized certificate deployment to services including SLB, CDN, WAF, ECS, and other supported resources.
                                      The integration is particularly strong because Alibaba Cloud ' s load-balancing services use certificates managed through Certificate Management Service. For example, SSL listeners require appropriate server certificates for encrypted client connections.
                                      WAF adds web-application threat protection but is not primarily a certificate lifecycle automation solution.
                                      CDN with HTTPS is valuable for accelerated content delivery but is not required simply to centralize TLS termination. KMS protects cryptographic keys and secrets but does not replace SSL certificate deployment and lifecycle management.
                                      Therefore, SLB plus Certificate Management Service provides encrypted access and centralized certificate administration with the lowest operational burden.
                                      Study Guide reference: Securing Workloads on Alibaba Cloud - TLS, certificate lifecycle management, SSL termination, and secure load balancing.


                                      NEW QUESTION # 40
                                      ......

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