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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
| Topic 2: Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Topic 3: Core Infrastructure Deep Dive | 26% | - Best Practices for Database Services
|
| Topic 4: Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Topic 5: Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
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NEW QUESTION # 50
Sandra hosts a web application on a single ECS instance that stores documents uploaded by users in an EBS data disk. As the requirements grow, they duplicate the application and host it in a second ECS instance in a different zone. An ALB instance is used to distribute traffic between these ECS instances. However, after completing this change, users reported that every time they access the web application, they could only see some of their documents at any given time, but never all of the documents at the same time.
As a Cloud Architect, how would you solve this issue?
Answer: B
Explanation:
The architectural defect is that application state is stored independently on local block storage attached to each ECS instance. ALB can route successive requests to either backend, so each server exposes only the files stored on its own EBS disk. The correct solution is therefore to separate persistent shared data from individual compute instances.
Alibaba Cloud File Storage NAS provides shared file storage that can be mounted concurrently by multiple ECS instances. A single NAS file system becomes the authoritative repository for uploaded documents, so regardless of which ECS instance receives a request, both instances access the same underlying dataset.
Alibaba Cloud explicitly supports mounting NAS on multiple ECS instances for shared access.
Periodic EBS synchronization is operationally fragile and introduces consistency windows. ALB session persistence would merely hide the architectural problem and would fail when an ECS instance becomes unavailable or is replaced. Sending every request to both servers would also complicate application logic and still leave divergent storage.
Moving the data to NAS converts the application tier into a horizontally scalable compute layer while maintaining one consistent shared filesystem.
Study Guide reference: Core Infrastructure Deep Dive - ECS storage patterns, File Storage NAS, shared storage, and stateless application architecture.
NEW QUESTION # 51
Eric is developing a containerized application that will run on an Alibaba Cloud Container Service for Kubernetes (ACK) cluster. This production application will run on a managed ACK cluster that is provisioned with pay-as-you-go instances.
Eric also needs a dedicated ACK cluster for development work. This cluster will be used infrequently to test the resiliency of the application. Due to having a limited workforce and time, Eric hopes that ACK will be able to manage all the nodes in the cluster.
As a Cloud Architect, which of the following solutions will meet these requirements MOST cost-effectively?
Answer: C
Explanation:
The requirements explicitly identify two separate environments: a production ACK cluster using stable pay-as- you-go ECS capacity and a dedicated development cluster that is used only intermittently. Option D satisfies both requirements while preserving ACK-managed node-pool operations.
For the development cluster, preemptible instances-now generally described as spot instances in current Alibaba Cloud documentation-are appropriate because the workload is temporary, interruption-tolerant, and cost-sensitive. Alibaba Cloud states that spot capacity can reduce compute costs substantially compared with ordinary pay-as-you-go instances. ACK node pools can use spot instances and can automatically perform scaling and replacement operations.
The production cluster remains on pay-as-you-go nodes, avoiding the reclamation risk associated with spot capacity. A separate managed development cluster also preserves workload isolation.
Option A does not provide the required second development cluster and imposes subscription commitment.
Option B requires Eric to maintain an external Auto Scaling and bootstrap mechanism, contradicting the desire for ACK to manage nodes. Option C again describes only one cluster and fails to retain the required production environment.
Study Guide reference: Core Infrastructure Deep Dive - ACK managed clusters, node pools, spot
/preemptible ECS, and cloud cost optimization.
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
Alisa ' s company recently migrated to Alibaba Cloud and wants to implement a solution to protect the traffic that flows in and out of the production VPC. Their previous on-premises solution had an inspection server that performed specific operations such as traffic flow inspection and traffic filtering. The company wants to have the same functionalities on Alibaba Cloud.
Which of the following solutions will meet these requirements?
Answer: C
Explanation:
Alibaba Cloud Cloud Firewall is the purpose-built managed network-security service for centralized traffic inspection, filtering, access control, and threat prevention. It protects multiple network boundaries, including traffic between cloud workloads and the Internet as well as east-west traffic involving VPC environments.
For Internet-facing assets, Cloud Firewall can inspect inbound and outbound traffic and apply access-control policies, DPI-based analysis, intrusion-prevention rules, and threat intelligence without requiring an organization to deploy and maintain a self-managed firewall appliance.
For private architectures, a VPC Firewall can inspect and control traffic traversing VPC boundaries through CEN or Express Connect. Access-control policies determine which traffic is permitted or blocked.
Simple Log Service can analyze network logs but does not itself enforce inline traffic filtering. Traffic Mirroring copies traffic to another inspection system and therefore requires additional tooling. Security Center focuses primarily on workload security posture, vulnerability management, malware protection, and host security rather than functioning as the VPC ' s inline network firewall.
Cloud Firewall therefore most closely reproduces the company ' s former inspection-and-filtering architecture as a fully managed cloud-native service.
Study Guide reference: Securing Workloads on Alibaba Cloud - Cloud Firewall, network inspection, access control, IPS, and VPC security.
NEW QUESTION # 54
A retail chain is utilizing Alibaba Cloud ' s PolarDB to manage its inventory and sales databases. They need to ensure that their SQL queries have minimal impact on their production workload while enabling data analysts to run complex analytical queries.
How can the retail chain optimize their database operations for both transactional and analytical workloads?
(Correct answers: 2)
Answer: B,C
Explanation:
Option B reduces interference between transaction processing and read-heavy workloads inside PolarDB.
PolarDB ' s read/write splitting automatically routes writes to the primary node while distributing eligible reads across read-only nodes. This allows reporting and ordinary SELECT traffic to consume separate compute capacity instead of competing with critical transactional writes on the primary node. Alibaba Cloud specifically identifies reporting, analytics, and read-heavy applications as appropriate read/write-splitting scenarios.
Option D provides stronger isolation for computationally expensive analytics. DTS can continuously synchronize PolarDB for MySQL data into MaxCompute using initial full synchronization followed by ongoing incremental change capture. Analysts can then execute large-scale analytical workloads against MaxCompute without placing those queries on the production transactional database.
Running queries on ECS does not inherently remove load from PolarDB because the SQL operations would still execute against the database. Introducing MongoDB merely to execute analytical queries creates a second database technology without an appropriate replication or analytical architecture.
Together, PolarDB read/write splitting optimizes operational read traffic while DTS-to-MaxCompute isolates heavyweight analytical processing, producing an effective HTAP-style separation of concerns.
Study Guide reference: Core Infrastructure Deep Dive - PolarDB, read/write splitting, DTS, MaxCompute, and analytical workload offloading.
NEW QUESTION # 55
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