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| Section | Weight | Objectives |
|---|---|---|
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Core Infrastructure Deep Dive | 26% | - Best Practices for Database Services
|
| Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
| Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
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NEW QUESTION # 38
A Cloud Architect is designing a two-tiered architecture that includes a public vSwitch and a database vSwitch. The web servers in the public vSwitch must be open to the Internet on port 443. The ApsaraDB RDS for MySQL instance in the database vSwitch must be accessible only to the web servers on port 3306.
Which combination of actions should the Cloud Architect take to meet these requirements? (Correct answers:
2)
Answer: C,D
Explanation:
The public web tier needs an inbound security-group rule permitting TCP 443 from Internet clients.
Therefore, Option E is required. Security groups act as virtual firewalls and should expose only application ports required by the workload. Alibaba Cloud recommends allowing public access only to necessary web- service ports such as HTTPS 443 while keeping internal services inaccessible from the Internet.
For the database tier, access should be limited to ECS instances belonging to the web-server security group.
Alibaba Cloud RDS for MySQL supports associating an ECS security group with an RDS instance, allowing ECS instances in that group to connect without adding every server address individually to an IP whitelist.
This is particularly useful when application-server membership changes dynamically.
Option B is overly broad because every resource within the public vSwitch ' s CIDR could potentially be authorized rather than only the approved web tier. Option C would prevent legitimate database traffic. Option D is unnecessary because RDS access behaves as an allow-list model: only explicitly authorized addresses or associated security-group members should be granted database access.
Thus, Internet clients reach the web tier only over HTTPS, while MySQL accepts access only from the authorized application servers.
Study Guide reference: Securing Workloads on Alibaba Cloud - Security Groups, RDS access control, least privilege, and tiered network segmentation.
NEW QUESTION # 39
Jason ' s company is running a traditional web application on Alibaba Cloud ECS instances. The company wants to improve efficiency by refactoring the application as microservices that run on containers. The application must be deployed across multiple environments: production and testing. Load for the application is variable, but the minimum load and maximum load are known. As a Cloud Architect, you have been assigned the job of designing the updated application with a serverless architecture that minimizes operational complexity.
Which solution will meet these requirements MOST cost-effectively?
Answer: D
Explanation:
Serverless App Engine is the strongest fit because it provides an application-oriented serverless platform specifically intended for hosting containerized and microservice applications without requiring the organization to administer Kubernetes clusters or ECS infrastructure. SAE can deploy applications directly from container images, including images stored in Alibaba Cloud Container Registry, and automatically manages provisioning, application lifecycle, scaling, monitoring, and underlying resources.
SAE namespaces also provide logical isolation for development, testing, and production environments. This directly addresses the requirement for separate production and testing deployments while avoiding the overhead of maintaining separate ACK clusters.
SAE integrates with Application Load Balancer for Layer 7 ingress and routing. ALB can expose SAE applications and route traffic to the appropriate backend application instances.
ACK Serverless removes worker-node management but still introduces Kubernetes objects and cluster administration. ACK Managed requires even greater cluster administration. Function Compute is optimized for functions and event-driven processing rather than straightforward migration of a multi-service container application.
Study Guide reference: Core Infrastructure Deep Dive - serverless compute, SAE, containerized applications, microservices, and application scaling.
NEW QUESTION # 40
Keanu uses Elastic Compute Service (ECS) instances to run batch jobs to process data at 00:00 AM and 04:00 AM every day. An Auto Scaling group manages the ECS instances, which run as pay-as-you-go instances. If a batch job fails on one instance, another instance will reprocess the job.
Which of the following solutions provides the MOST cost-effective way to run these jobs?
Answer: D
Explanation:
The workload is an excellent candidate for preemptible, currently called spot, ECS capacity because it is short- lived, batch-oriented, horizontally scalable, and explicitly tolerant of interruption. The question states that if an instance fails, another instance can reprocess the job. That removes the main architectural objection to using interruptible compute.
Alibaba Cloud describes ECS spot instances as unused ECS capacity offered at substantially reduced prices compared with standard pay-as-you-go instances. The documented recommended scenarios include short- term tasks, data analytics, and applications that are highly fault tolerant and able to tolerate interruption.
Savings Plans and reserved-instance-style commitments can reduce costs for predictable long-term baseline consumption, but this workload runs only at two scheduled times each day. Purchasing committed capacity for a sporadic workload can leave paid capacity economically underutilized. Higher-specification pay-as-you- go instances also do not inherently minimize compute cost.
Using a launch template with preemptible/spot ECS instances allows Auto Scaling to add inexpensive compute when the batch workload requires it, while the application ' s retry mechanism handles interruptions.
Study Guide reference: Core Compute Infrastructure Deep Dive; Scalable Architecture on Alibaba Cloud; cost optimization for elastic compute.
NEW QUESTION # 41
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: C,D
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 # 42
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,C
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 # 43
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