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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 Highly Available, Performant Cloud Architecture | 22% | - Performance optimization and resilience design - Auto Scaling and Server Load Balancer (SLB) - Multi-zone deployment and disaster recovery |
| Securing Workloads on Alibaba Cloud | 22% | - Resource Access Management (RAM) and identity control - WAF, Anti-DDoS and network protection - Data security and compliance best practices |
| Delivering Services and Content on Alibaba Cloud | 12% | - Service integration and access optimization - CDN and content delivery strategies - Alibaba Cloud DNS and domain management |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Network routing and security groups - Express Connect and VPN Gateway |
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NEW QUESTION # 43
A financial services firm is deploying a real-time analytics platform on Alibaba Cloud to analyze sensitive customer transaction data. The platform must ensure data encryption at rest and in transit, centralized encryption key management, and compliance with internal security policies.
As a Cloud Architect, which Alibaba Cloud services would you recommend for the firm to utilize to meet these requirements? (Correct answers: 3)
Answer: B,C,E
Explanation:
The three explicit requirements are centralized key management, encryption in transit, and encryption at rest.
KMS satisfies centralized cryptographic-key management. It provides secure key creation, storage, lifecycle management, access control, and integration with Alibaba Cloud services such as databases and storage.
Customer-managed software or hardware-protected keys can also be used where stricter compliance controls are required.
Certificate Management Service provides SSL/TLS certificates that establish encrypted HTTPS/TLS communication and verify server identity. TLS prevents sensitive transaction information from being transmitted as readable plaintext across network connections.
Transparent Data Encryption protects database data at rest. Alibaba Cloud RDS documentation identifies TDE as an encryption layer protecting database data files and backups without requiring applications to perform the underlying encryption themselves. RDS also separately supports SSL for database connection encryption.
Security Groups are an important network-access control, but the question requires exactly three controls specifically addressing encryption and centralized key management. Redis session management is unrelated.
The resulting security architecture therefore uses KMS for keys, TLS certificates for data in transit, and RDS TDE for persistent data at rest.
Study Guide reference: Securing Workloads on Alibaba Cloud - KMS, TLS/SSL, RDS encryption, TDE, and cryptographic key governance.
NEW QUESTION # 44
FirstBuy is a rapidly growing global e-commerce company. The company hosts its web application on Alibaba Cloud. The application serves both static and dynamic content. Transactional data is stored in an ApsaraDB RDS database.
Lately, customers have been complaining about slow page loading speeds.
As a Cloud Architect, which combination of actions can you take to solve this problem? (Correct answers: 2)
Answer: B,D
Explanation:
Alibaba Cloud CDN addresses the front-end performance problem by caching static resources at edge Points of Presence close to users. Instead of every image, JavaScript file, stylesheet, or other cacheable object being retrieved from the origin application, CDN returns cached copies from nearby edge nodes. This reduces network latency and decreases load on the original application servers. Alibaba Cloud specifically identifies reduced latency and lower origin workload as primary benefits of CDN.
Read/write splitting addresses database-side pressure. ApsaraDB RDS for MySQL can use database proxy functionality to direct write operations to the primary instance and distribute eligible read operations to read- only instances. This is especially effective for read-heavy web applications because it reduces CPU and I/O load on the primary database and increases aggregate read throughput.
A multi-zone database improves availability rather than directly solving page-load latency. AnalyticDB is an analytical database and should not replace RDS simply to handle transactional data. OSS is optimized for static objects; hosting dynamic application content there does not fit its object-storage model.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - CDN acceleration, RDS read scaling, database proxies, and application performance optimization.
NEW QUESTION # 45
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,C,D
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 # 46
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: D
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 # 47
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: B,C
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 # 48
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