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| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - Elastic Compute Service (ECS) and serverless computing - File Storage NAS and block storage - Object Storage Service (OSS) and storage solutions |
| Delivering Services and Content on Alibaba Cloud | 12% | - Service integration and access optimization - CDN and content delivery strategies - Alibaba Cloud DNS and domain management |
| Securing Workloads on Alibaba Cloud | 22% | - Data security and compliance best practices - Resource Access Management (RAM) and identity control - WAF, Anti-DDoS and network protection |
| Building Highly Available, Performant Cloud Architecture | 22% | - Performance optimization and resilience design - Multi-zone deployment and disaster recovery - Auto Scaling and Server Load Balancer (SLB) |
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - VPC design and configuration - Network routing and security groups - Express Connect and VPN Gateway |
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NEW QUESTION # 40
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: A,B
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 # 41
Clarence runs a technology services company that uses ApsaraDB RDS. The company wants to streamline their database management and set up a robust access control structure.
Which of the following solutions provides the required functionality with the LEAST operational overhead?
Answer: C
Explanation:
Data Management Service is specifically designed to centralize database administration, authorization, and governance. Its permission model provides fine-grained control over instances, databases, tables, columns, rows, and sensitive data. Administrators can control logon, query, export, and change privileges while maintaining centralized governance rather than manually coordinating several independent services.
DMS is also appropriate where the organization needs auditable database access. Alibaba Cloud explicitly describes DMS authorization scenarios that include controlling RDS access and auditing employee data access.
RAM controls permissions to Alibaba Cloud resources and APIs, but combining RAM with ActionTrail would require multiple mechanisms and would not provide DMS ' s database-object-level permission model.
An RDS IP whitelist is useful as a network access restriction but cannot express granular user permissions or provide centralized database governance. WAF protects HTTP/HTTPS applications and is not the appropriate control plane for direct RDS database authorization.
DMS therefore provides the required access control and audit functionality with the lowest operational complexity by consolidating database security administration into a purpose-built managed service.
Study Guide reference: Securing Workloads on Alibaba Cloud - DMS access control, database governance, RDS security, and auditing.
NEW QUESTION # 42
A telecommunications company is expanding its backend architecture on Alibaba Cloud to add new services but needs to consolidate security management. They use multiple VPCs and want to streamline authorization management across their services.
What strategy should they adopt to simplify security group management across VPCs?
Answer: C
Explanation:
Basic security groups support group-based authorization, allowing one security group ' s rules to reference another security group rather than requiring administrators to maintain long lists of individual IP addresses.
Alibaba Cloud explicitly recommends source-security-group authorization for internal application communication because it is more manageable than maintaining individual private IP addresses or CIDR ranges.
This distinction is important because advanced security groups do not support another security group as an authorization object. Their primary benefit is higher private-IP capacity for very large deployments, not simplified service-to-service authorization.
For workloads residing in different VPCs, network connectivity must first exist through VPC Peering, Cloud Enterprise Network, PrivateLink, or another appropriate mechanism. Security groups do not themselves establish cross-VPC routes; they enforce authorization once the relevant network path exists.
Centralized logging provides visibility but does not simplify the actual authorization rules. Network ACLs operate at the vSwitch/subnet boundary and are less appropriate for application-tier identity based on security- group membership.
Thus, basic security groups with group-based authorization provide the intended simplified access-control model.
Study Guide reference: Securing Workloads on Alibaba Cloud - security groups, group-based authorization, least privilege, and VPC workload segmentation.
NEW QUESTION # 43
A worldwide retail company is adapting their e-commerce platform to handle spikes in online traffic during annual sales events. They are using Alibaba Cloud services and need a solution that can automatically scale resources to maintain performance during these peaks.
What solutions should the company implement to efficiently manage their resources during high-traffic periods? (Correct answers: 3)
Answer: A,B,D
Explanation:
The strongest architecture for an existing e-commerce platform experiencing predictable but substantial traffic spikes is OSS/CDN + ALB + Auto Scaling. Auto Scaling is specifically designed to increase ECS capacity when traffic or resource utilization rises and remove unnecessary instances after demand subsides. Alibaba Cloud documents this as a core mechanism for handling traffic spikes while avoiding permanent over- provisioning.
ALB complements Auto Scaling by distributing requests across healthy ECS backend instances. As scaling creates additional instances, they can be automatically added to the ALB server group, allowing traffic to use the enlarged compute pool immediately.
Static images and videos should be moved to OSS and accelerated through CDN. CDN caches static resources on geographically distributed edge nodes, substantially reducing requests reaching the ECS application tier and lowering origin bandwidth and processing load during sales events.
Function Compute is highly elastic, but introducing it merely to supplement an existing server-based application normally requires application restructuring. It is therefore less directly applicable than the three mechanisms specifically designed to scale and offload the existing architecture.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - Auto Scaling, ALB, CDN offloading, and elastic ECS architecture.
NEW QUESTION # 44
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,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 # 45
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