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| Section | Objectives |
|---|---|
| Topic 1: Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Topic 2: Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Topic 3: Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
| Topic 4: Core Infrastructure Deep Dive | - Core Compute Infrastructure Deep Dive - Core Storage Infrastructure Deep Dive - Best Practices for Database Services |
| Topic 5: Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
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NEW QUESTION # 17
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,D
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 # 18
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: D
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 # 19
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: C
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 # 20
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,D,E
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 # 21
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 # 22
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