Owing to the industrious dedication of our experts and other working staff, our CAP-C01 study materials grow to be more mature and are able to fight against any difficulties. Our CAP-C01 preparation exam have achieved high pass rate in the industry, and we always maintain a 99% pass rate on our CAP-C01 Exam Questions with our endless efforts. We have to admit that behind such a starling figure, there embrace mass investments from our company. Since our company’s establishment, we have devoted mass manpower, materials and financial resources into CAP-C01 exam materials.
| Section | Weight | Objectives |
|---|---|---|
| Core Infrastructure Deep Dive | 26% | - Core Compute Infrastructure Deep Dive
|
| Delivering Services and Content on Alibaba Cloud | 12% | - Delivering Services and Content on Alibaba Cloud
|
| Building Enterprise-grade Networks on Alibaba Cloud | 18% | - Cloud Networking Deep Dive
|
| Building Highly Available, Performant Cloud Architecture | 22% | - Leveling up Your Core Infrastructure
|
| Securing Workloads on Alibaba Cloud | 22% | - Alibaba Cloud Security Deep Dive
|
>> CAP-C01 Authorized Exam Dumps <<
This challenge of CAP-C01 study quiz is something you do not need to be anxious with our practice materials. If you make choices on practice materials with untenable content, you may fail the exam with undesirable outcomes. Our CAP-C01 guide materials are totally to the contrary. Confronting obstacles or bottleneck during your process of reviewing, our CAP-C01 practice materials will fix all problems of the exam and increase your possibility of getting dream opportunities dramatically.
NEW QUESTION # 19
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 # 20
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 # 21
A global telecommunications company hosts its web application on Alibaba ECS instances behind an Alibaba Cloud Application Load Balancer (ALB). The application has static data stored in Object Storage Service (OSS). The company is aiming to enhance performance and reduce latency for both static and dynamic content. The domain name is maintained by Alibaba Cloud DNS.
Which of the following solutions provides the required functionality with the LEAST configurations?
Answer: D
Explanation:
Option B provides the simplest consolidated content-delivery architecture. Alibaba Cloud CDN can use multiple origins, and current CDN functionality supports origin-selection rules based on parameters such as request path, headers, query strings, and cookies. This allows static requests to be associated with an OSS origin while application requests are forwarded toward the ALB-backed application tier.
Static objects stored in OSS benefit directly from CDN edge caching. Requests are routed to nearby CDN points of presence, and cached resources can be returned without repeatedly accessing the OSS origin, reducing both latency and origin load.
Dynamic responses are generally not cached because they are generated uniquely for requests. They can still be routed to the application origin according to the configured origin rules.
The Global Accelerator alternatives create an unnecessarily fragmented architecture and attempt to use separate acceleration paths where one CDN-facing domain and origin-routing configuration can satisfy the question with fewer components. They also introduce additional DNS and acceleration configuration.
Therefore, a single CDN delivery layer with OSS and ALB-backed origins, combined with Alibaba Cloud DNS directing the application domain to CDN, produces the lowest configuration overhead.
Study Guide reference: Delivering Services and Content on Alibaba Cloud - CDN, OSS acceleration, ALB origins, and intelligent content delivery.
NEW QUESTION # 22
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: D
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 # 23
Camila has set up a simple blog hosted on a single Elastic Compute Service (ECS) instance, storing images and files on an Elastic Block Storage (EBS) disk within the ECS instance, and relying on an ApsaraDB RDS for MySQL instance for its data tier. Camila wants to scale up her blog and enhance both resilience and performance with minimal changes to the application.
As a Cloud Architect, which combination of actions can you take to improve both resilience and performance of the website? (Correct answers: 3)
Answer: A,D,E
Explanation:
The existing architecture has two important bottlenecks: a single ECS compute node and files stored on storage attached to that individual ECS instance. Option E eliminates the compute single point of failure. A custom image allows identical ECS instances to be created, while Auto Scaling maintains multiple instances and ALB distributes requests across healthy backends. This provides horizontal scalability and significantly stronger application availability.
Option D addresses shared application storage. File Storage NAS is a managed, POSIX-compatible shared filesystem that multiple ECS instances can mount concurrently. All web servers therefore see the same files, while NAS handles storage scalability and consistency independently from the ECS lifecycle.
Option A improves performance by moving cacheable website content toward users. CDN serves static resources from nearby POPs and reduces requests and bandwidth reaching the origin infrastructure.
Although OSS is excellent for native object-storage workloads, mounting OSS through ossfs does not provide the same filesystem semantics and consistency characteristics as NAS for a traditional application requiring minimal modification. Global Accelerator primarily optimizes network paths and does not eliminate the application ' s compute or storage single points of failure.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - ALB, Auto Scaling, NAS shared storage, and CDN.
NEW QUESTION # 24
......
As a market leader, our company is able to attract quality staff; it actively seeks out those who are energetic, persistent, and professional to various CAP-C01 certificate and good communicator. Over 50% of the account executives and directors have been with the Group for more than ten years. The successful selection, development and CAP-C01 training of personnel are critical to our company's ability to provide a high standard of service to our customers and to respond their needs. That's the reason why we can produce the best CAP-C01 exam prep and can get so much praise in the international market..
CAP-C01 Latest Exam Tips: https://www.torrentvce.com/CAP-C01-valid-vce-collection.html