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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Core Infrastructure Deep Dive | 26% | - Core Compute Infrastructure Deep Dive
|
| Topic 2: Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Topic 3: Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
| Topic 4: Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Topic 5: Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
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NEW QUESTION # 11
A pharmaceutical company runs protein folding experiments on-prem. The experiments are split into two parts:
* A simulation application that runs on Linux, and outputs data to an NFS share every minute.
* A visualization application that runs on Windows that converts data from the simulation into graphics.
This application requires an SMB file system.
To support these applications, the company maintains two synchronized file systems, which is prone to data duplication and contributes to inefficient data storage. Lately, they have been considering migrating their use case to Alibaba Cloud. However, they do not want to make any code changes to either application.
As a Cloud Architect, propose a solution for this case.
Answer: C
Explanation:
This is fundamentally a lift-and-shift filesystem workload. The applications already depend on standard operating-system file interfaces, and the requirement explicitly states that application code should not be changed. ECS therefore preserves the existing Linux and Windows execution environments, while File Storage NAS supplies managed shared filesystem semantics.
Alibaba Cloud NAS supports NFS and SMB protocols and is designed specifically for workloads migrating from traditional file servers. Alibaba documentation describes NAS as appropriate for lift-and-shift applications because existing applications can continue using standard filesystem calls, path structures, and file-locking behavior without rewriting file I/O logic.
For cross-operating-system sharing, Alibaba Cloud recommends SMB when Linux and Windows clients must access the same filesystem, and Linux ECS can mount SMB when cross-platform data sharing is required.
OSS would change the storage interface from filesystem semantics to object APIs, normally requiring application changes. Message Queue changes the application ' s data exchange architecture. ACK introduces unnecessary containerization complexity.
Therefore, Linux ECS + Windows ECS + managed NAS most closely preserves the existing application model while eliminating the operational problems associated with manually synchronized on-premises file systems.
Study Guide reference: Core Infrastructure Deep Dive - ECS migration, File Storage NAS, NFS/SMB, and lift-and-shift architecture.
NEW QUESTION # 12
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: A,B,C
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 # 13
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,E
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 # 14
Muthu is a Cloud Architect who is designing the architecture of a new application being deployed to Alibaba Cloud. The application will run on Elastic Compute Service (ECS) pay-as-you-go instances and will automatically scale across multiple zones based on load. The ECS cluster will scale in and out frequently throughout the day. An Application Load Balancer (ALB) will handle the load distribution. The architecture needs to support distributed session data management.
What should Muthu do to ensure that the architecture supports distributed session data management?
Answer: A
Explanation:
Tair (Redis OSS-Compatible) is the appropriate centralized session-state layer for an elastic, distributed application. When ECS instances frequently scale in and out, application sessions must not depend on the lifecycle of any individual compute node. By storing session tokens and session state in Tair, every ECS instance can retrieve the same session information, making the web/application tier effectively stateless and compatible with Auto Scaling.
Alibaba Cloud Tair is a fully managed Redis-compatible database designed for high throughput, low latency, elastic scalability, and high availability. Alibaba Cloud also documents session-oriented Tair use cases in which session tokens are stored as Redis/Tair data structures with TTL values, demonstrating precisely why the service fits distributed session management.
Session stickiness is weaker because it attempts to keep a user on a specific backend and therefore creates affinity to an instance that might be removed during scaling or failover. CloudMonitor is an observability service, not a session store. STS issues temporary Alibaba Cloud credentials and does not maintain application user sessions.
Consequently, separating session state from ECS compute by storing it in Tair gives the architecture the elasticity and fault tolerance required.
Study Guide reference: Distributed Architecture on Alibaba Cloud; Performant Architecture; Core Infrastructure Deep Dive.
NEW QUESTION # 15
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,C,D
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 # 16
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