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| Section | Objectives |
|---|---|
| Topic 1: Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
| Topic 2: Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Topic 3: Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Topic 4: Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
| Topic 5: Core Infrastructure Deep Dive | - Core Storage Infrastructure Deep Dive - Core Compute Infrastructure Deep Dive - Best Practices for Database Services |
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NEW QUESTION # 50
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,E
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 # 51
A company has a data ingestion workflow that consists of:
* An Alibaba Cloud Simple Message Queue topic for notifications about new data deliveries.
* An Alibaba Cloud Function Compute service to process the data and record metadata.
The company observes that the ingestion workflow fails occasionally because of network connectivity issues.
When such a failure occurs, the Function Compute instance does not ingest the corresponding data unless the company manually reruns the job.
Which combination of actions should a solutions architect take to ensure that the Function Compute instance ingests all data in the future? (Correct answers: 2)
Answer: A,B
Explanation:
The core problem is durability during transient processing or network failures. A topic provides publish
/subscribe notification delivery, but placing an SMQ queue behind the topic creates a persistent buffer between the notification producer and the Function Compute consumer. Alibaba Cloud supports subscribing a queue to an SMQ topic so that every message published to the topic is copied into the queue and retained for consumption.
Function Compute should then process records from the queue. Queue semantics provide the required failure recovery: after a consumer receives a message, it becomes temporarily invisible. The consumer deletes the message only after successful processing. If processing fails-for example because of a temporary connectivity problem-the message is not deleted and becomes visible again after the visibility timeout, allowing another processing attempt.
Function Compute also supports SMQ queue triggers with configurable retries, fault-tolerance behavior, and dead-letter handling, which can further strengthen this architecture.
Increasing memory does not fix network reliability, and multi-region deployment alone does not guarantee message persistence. A durable queue therefore prevents transient failures from silently losing ingestion work.
Study Guide reference: Core Infrastructure Deep Dive - Simple Message Queue, Function Compute, durable asynchronous processing, retries, and decoupled event-driven architecture.
NEW QUESTION # 52
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,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 # 53
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: A
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 # 54
Liam ' s company operates an on-premises data analytics platform across 12 servers. The system runs scheduled jobs (70% of the time, each job taking anywhere from 20 minutes to 2 hours to complete, with tight SLAs) and user jobs (30% of the time, each job taking less than 5 minutes, with no SLA requirements).
Scheduled jobs must continue to meet SLAs during system failures, while user jobs can be delayed.
As a Cloud Architect, you are tasked to migrate the system to Alibaba Cloud ECS using a consumption-based model while maintaining the same high availability and SLA requirements.
Which solution is the MOST cost-effective and flexible?
Answer: A
Explanation:
Option A offers the strongest combination of resilience, predictable baseline capacity, flexibility, and reduced cost. Nine standard pay-as-you-go ECS instances are spread evenly across three zones and can support the scheduled workloads that have strict SLA requirements. The remaining three instances use lower-cost preemptible/spot capacity for user jobs that can tolerate interruption or delay.
Alibaba Cloud describes spot instances as offering the same compute performance as ordinary pay-as-you-go ECS but at substantially lower prices, with the trade-off that capacity can be reclaimed. This makes spot capacity appropriate for interruption-tolerant workloads but inappropriate as the sole capacity supporting strict SLAs.
A Savings Plan discounts eligible pay-as-you-go ECS usage while preserving significantly greater flexibility than traditional reserved-instance matching. Current Alibaba Cloud documentation states that Savings Plans apply discounts to pay-as-you-go usage and can offer flexibility across instance configurations; they do involve a one- or three-year hourly spend commitment, but they do not provision or reserve fixed ECS capacity.
Options C and D concentrate too much reliable capacity into fewer zones or place excessive workload on interruptible capacity. Option A therefore provides the best workload-tiering and multi-zone design among the available choices.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - multi-zone ECS, workload resilience, Savings Plans, and spot instances.
NEW QUESTION # 55
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