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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Infrastructure Deep Dive | 26% | - Best Practices for Database Services
|
| Topic 2: Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
| Topic 3: Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
| Topic 4: Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Topic 5: Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
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NEW QUESTION # 27
A media company is developing a video processing pipeline utilizing Alibaba Cloud Container Service for Kubernetes (ACK). They want to use a serverless approach to accommodate unpredictable workloads but are unsure about its impact on logging.
What considerations should the company keep in mind regarding logging in a serverless ACK environment?
Answer: A
Explanation:
Simple Log Service (SLS) is the appropriate logging platform for an ACK Serverless environment. Serverless Kubernetes removes much of the node-management responsibility, so the logging architecture should follow the same managed-service model rather than introduce dedicated log-processing infrastructure.
Alibaba Cloud provides native SLS integration for ACK Serverless. SLS can collect container standard output and application log files and then provide centralized search, analysis, dashboards, alerting, and downstream shipping. Alibaba documentation specifically states that ACK Serverless provides managed SLS capabilities and supports collecting container logs directly into SLS.
ARMS is primarily an application performance monitoring and observability platform; it does not replace SLS as the core centralized log-ingestion service. Option C is incorrect because SLS supports near-real-time collection and analysis. Option D also misunderstands serverless logging: scaling events do not inherently require dedicated logging servers.
The architecture should therefore preserve the operational advantages of serverless compute by using SLS as a fully managed, elastic logging layer capable of handling workload fluctuations without requiring the organization to provision and administer separate logging infrastructure.
Study Guide reference: Core Infrastructure Deep Dive - ACK, serverless container architecture, observability, and Simple Log Service.
NEW QUESTION # 28
An online education company plans to migrate their services to Alibaba Cloud. They want to improve their video streaming quality during peak hours using Alibaba Cloud services. As a Cloud Architect, you are tasked with building a solution to manage traffic spikes without compromising on video quality.
What combination of services would BEST fit their requirements? (Correct answers: 3)
Answer: A,B,D
Explanation:
CDN should form the content-delivery layer for cacheable video assets. Alibaba Cloud CDN distributes content to geographically dispersed edge nodes so viewers retrieve cached objects from nearby POPs rather than repeatedly connecting to a distant origin. Alibaba Cloud explicitly supports video-oriented CDN acceleration and edge delivery, reducing both end-user latency and origin bandwidth demand.
Auto Scaling addresses peak-time compute demand. It monitors workload conditions and automatically increases ECS capacity during traffic spikes, then scales resources back when traffic decreases. Alibaba Cloud specifically identifies streaming platforms with unpredictable demand as a typical Auto Scaling scenario.
Global Accelerator complements CDN and Auto Scaling where viewers or application endpoints are separated by long-distance or cross-border networks. GA routes traffic through Alibaba Cloud ' s optimized global BGP network, reducing latency, jitter, and packet loss. Alibaba documentation explicitly identifies video streaming as a latency-sensitive scenario that benefits from this architecture.
Tair can improve authentication or session performance, but it does not directly address video delivery quality or regional network performance. Therefore, CDN + Auto Scaling + Global Accelerator most directly satisfies the streaming requirement.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - CDN, Global Accelerator, Auto Scaling, video delivery, and global traffic optimization.
NEW QUESTION # 29
Ibrahim manages a large-scale manufacturing plant equipped with state-of-the-art instrumentation and telemetry that collects various information about the machines and products. These sensors collectively generate 1 TB worth of logs each day. Each notification is approximately 2 KB in size. You have been contracted to design a solution to ingest and store these logs for future analysis.
Ibrahim wants a highly available solution, but also wants to minimize costs. Additionally, he does not want to manage additional infrastructure. To meet their business requirements, they need to keep 14 days of data available for immediate analysis, and archive any other data older than 14 days.
What is the MOST operationally efficient solution that meets these requirements?
Answer: C
Explanation:
Simple Log Service (SLS) is a managed log-ingestion, storage, query, analysis, and visualization service, making it the most operationally efficient front-end for this telemetry workload. It eliminates the requirement to provision and manage ECS-based collectors or a separate search cluster simply to ingest and analyze log records.
For longer-term retention, Alibaba Cloud supports automatically shipping SLS data to OSS. This creates a clean hot-to-cold architecture: maintain recent data in SLS for interactive analysis and export older data to OSS for economical retention.
OSS lifecycle management can then automatically transition aging objects to lower-cost storage classes such as Archive. Lifecycle rules are explicitly designed to automate storage-class transitions based on object age, eliminating manual archival administration.
Option A requires additional Elasticsearch retention administration. Option B requires managing ECS infrastructure even though the question explicitly prioritizes reduced operational management. Option D adds Kafka unnecessarily and still specifies manual archival, directly conflicting with the requirement to minimize operational effort.
Thus, SLS for managed ingestion and recent analysis combined with SLS-to-OSS shipping and OSS lifecycle transitions provides the strongest serverless/managed retention architecture.
Study Guide reference: Core Infrastructure Deep Dive; Core Storage Infrastructure; operationally efficient log and data-storage architecture.
NEW QUESTION # 30
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: A,C,D
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 # 31
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: A
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 # 32
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