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| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - File Storage NAS and block storage - Elastic Compute Service (ECS) and serverless computing - Object Storage Service (OSS) and storage solutions |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Network routing and security groups - Express Connect and VPN Gateway |
| Securing Workloads on Alibaba Cloud | 22% | - Data security and compliance best practices - WAF, Anti-DDoS and network protection - Resource Access Management (RAM) and identity control |
| Building Highly Available, Performant Cloud Architecture | 22% | - Auto Scaling and Server Load Balancer (SLB) - Performance optimization and resilience design - Multi-zone deployment and disaster recovery |
| Delivering Services and Content on Alibaba Cloud | 12% | - CDN and content delivery strategies - Service integration and access optimization - Alibaba Cloud DNS and domain management |
>> CAP-C01 Simulation Questions <<
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NEW QUESTION # 48
Jenny developed a healthcare analytics platform on Alibaba Cloud. To meet performance, disaster recovery, and compliance requirements, the platform requires continuous data replication across zones for fault tolerance and cost-efficient storage of historical patient data for regulatory retention. Jenny has recruited you to help build a solution to address these challenges.
Which of the following strategies would you propose? (Correct answers: 2)
Answer: A,C
Explanation:
Data Transmission Service and OSS lifecycle management address the two distinct requirements:
continuously replicated operational data and economical long-term retention.
DTS provides real-time data synchronization by continuously capturing changes from a source database and applying them to a destination. Alibaba Cloud identifies active geo-redundancy, disaster recovery, cross- region replication, and real-time data synchronization as standard DTS scenarios. Maintaining a secondary synchronized dataset in another failure domain therefore provides substantially better recovery characteristics than relying only on periodic backups.
Historical data has a different access pattern. Regulatory medical records can remain necessary for years while being rarely retrieved. OSS lifecycle policies can automatically transition aging objects from frequently accessed storage into lower-cost storage classes such as Archive. Alibaba Cloud specifically describes lifecycle policies for medical records and other compliance datasets that become cold over time.
Option B provides backup protection but does not directly provide the requested continuous replication architecture and unnecessarily introduces self-managed databases on ECS. DMS simplifies database administration but is not a data-replication or archival-storage mechanism.
Consequently, DTS supplies the live replication/fault-tolerance layer, while OSS lifecycle policies supply automated and cost-efficient long-term retention.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - DTS replication, disaster recovery, OSS lifecycle management, and compliance-oriented storage.
NEW QUESTION # 49
Priya is building a remote office application, and is looking for a storage solution to go with it. The solution must be highly available and scalable, and must be able to function as a file system that can be mounted to multiple Linux instances on Alibaba Cloud, as well as on-prem machines using native protocols such as Network File System (NFS) or Server Message Block (SMB).
For ease of use, Priya has set up a VPN Gateway between their network and their application ' s VPC on Alibaba Cloud.
Which of the following storage solutions meets this requirement?
Answer: C
Explanation:
File Storage NAS is Alibaba Cloud ' s managed shared filesystem service and is the correct storage family for workloads that require standard filesystem semantics and mounting by many clients. NAS supports NFS and SMB-based access, and a mount target acts as the private VPC endpoint through which clients access a NAS filesystem. General-purpose NAS currently supports up to two mount targets, and a mount target can be concurrently accessed by large numbers of compute nodes.
Alibaba Cloud also explicitly supports accessing NAS from an on-premises data center through VPN Gateway. This means the same private network architecture can accommodate cloud-hosted ECS clients and systems connected through the enterprise VPN.
OSS provides object semantics rather than a native shared NFS/SMB filesystem. EBS is block storage attached to compute instances and would require Priya to build and maintain custom file-server proxies, reducing availability and increasing administration.
Among the offered answers, multiple NAS mount points best align with the requirement for scalable managed file storage and resilient access paths while preserving standard filesystem protocols.
Study Guide reference: Core Infrastructure Deep Dive - File Storage NAS, NFS/SMB, mount targets, and hybrid-cloud storage.
NEW QUESTION # 50
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: B,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 # 51
Paul runs a successful online game. The game is deployed as a three-tier architecture in a VPC with ApsaraDB RDS for MySQL at the database layer. The game allows players to compete in real-time, and Paul wants to display a top-10 scoreboard in near-real time.
As a Cloud Architect, which of the following solutions would you propose for Paul ' s use case?
Answer: D
Explanation:
Tair is the appropriate architecture for a frequently changing game leaderboard because Redis-compatible sorted data structures are optimized for high-throughput score updates and ranking operations. Instead of repeatedly executing expensive aggregation and sorting queries against the relational database, the application can maintain player scores in Tair and retrieve the highest-ranked members directly.
Alibaba Cloud specifically documents leaderboard implementations based on Tair ' s sorted-set capabilities.
Tair ' s enhanced exZset functionality supports scalable ranking use cases and can distribute large leaderboards across multiple internal structures while preserving rank calculation.
This also protects RDS from high-frequency scoreboard queries. RDS remains the durable transactional database, while Tair operates as the low-latency serving and ranking layer for frequently accessed score data.
CDN caching is unsuitable because the leaderboard changes continually and requires near-real-time freshness.
A second relational PostgreSQL database would duplicate database infrastructure without providing the specialized in-memory ranking semantics required. An RDS read replica can reduce pressure on the primary database, but calculating and sorting rankings through SQL for every refresh remains less efficient than maintaining rankings directly in an in-memory sorted structure.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - Tair, caching, low- latency architectures, and database performance optimization.
NEW QUESTION # 52
Lucy is a Cloud Architect at a new organization. They are creating a new application for their subscribers, which consists of a single static page and a persistent database layer. Based on the performance of their website, the application will experience traffic from millions of users for 4-6 hours in the morning, but only a few thousand for the rest of the day. Furthermore, the data engineers in the organization have requested that the app support rapid access to the database for their data warehouse requirements.
Which of the following solutions can meet these requirements while providing the MOST scalability?
(Correct answers: 2)
Answer: A,D
Explanation:
The workload has an extreme daily usage differential, making serverless PolarDB more appropriate than a fixed database configuration. PolarDB Serverless automatically scales compute resources up or out when CPU, memory, or database load increases and scales them down when demand subsides. This allows the database tier to accommodate millions of morning users without permanently paying for peak capacity throughout the remainder of the day.
The application front end is a single static page, so ECS instances are unnecessary. OSS can host HTML, CSS, JavaScript, images, and other static files directly. Placing Alibaba Cloud CDN in front of the OSS bucket caches those files at globally distributed edge nodes and serves requests from locations near users.
Alibaba Cloud recommends OSS + CDN for high-concurrency static websites because it reduces access latency and removes most origin load.
Option A can scale but retains fixed provisioned database resources and therefore provides less elasticity than the serverless model. Option D creates unnecessary compute infrastructure for content that requires no server- side execution.
The architecture therefore separates an infinitely scalable static delivery tier from an elastic serverless persistent database tier.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB Serverless, OSS static hosting, CDN, and automatic resource scaling.
NEW QUESTION # 53
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