Wir Pass4Test bietet Ihnen die Prüfungsfragen und Antworten zur Alibaba Cloud CAP-C01 von höchster Qualität, damit Sie viel näher von Ihrem Erfolg sind. Wenn Sie noch ein paar Sorgen haben, können Sie die CAP-C01 Demo durch die Webseite Pass4Test herunterladen. Hier versprechen wir Ihnen, dass wir Ihnen noch einjähriger Aktualisierung kostenlos anbieten werden, nachdem Sie die Prüfungsfragen und Antworten zur Alibaba Cloud CAP-C01 gekauft haben.
| Section | Objectives |
|---|---|
| Building Highly Available, Performant Cloud Architecture | - Leveling up Your Core Infrastructure |
| Securing Workloads on Alibaba Cloud | - Alibaba Cloud Security Deep Dive |
| Core Infrastructure Deep Dive | - Core Storage Infrastructure Deep Dive - Core Compute Infrastructure Deep Dive - Best Practices for Database Services |
| Building Enterprise-grade Networks on Alibaba Cloud | - Cloud Networking Deep Dive |
| Delivering Services and Content on Alibaba Cloud | - Delivering Services and Content on Alibaba Cloud |
Ihren Stress der Vorbereitung auf Alibaba Cloud CAP-C01 zu erleichtern ist unsere Verpflichtung. Ihnen erfolgreich zu helfen, Alibaba Cloud CAP-C01 Prüfung zu bestehen ist unser Ziel. Wir beruhigen Sie mit einer erstaunlich hohen Bestehensrate. Nicht alle Lieferanten wollen garantieren, dass volle Rückerstattung beim Durchfall anbieten, aber die IT-Profis von uns Pass4Test und alle mit unserer Alibaba Cloud CAP-C01 Software zufriedene Kunden haben uns die Konfidenz mitgebracht.
46. Frage
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?
Antwort: B
Begründung:
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.
47. Frage
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)
Antwort: A,B,E
Begründung:
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.
48. Frage
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)
Antwort: B,C,D
Begründung:
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.
49. Frage
Keanu uses Elastic Compute Service (ECS) instances to run batch jobs to process data at 00:00 AM and 04:00 AM every day. An Auto Scaling group manages the ECS instances, which run as pay-as-you-go instances. If a batch job fails on one instance, another instance will reprocess the job.
Which of the following solutions provides the MOST cost-effective way to run these jobs?
Antwort: A
Begründung:
The workload is an excellent candidate for preemptible, currently called spot, ECS capacity because it is short- lived, batch-oriented, horizontally scalable, and explicitly tolerant of interruption. The question states that if an instance fails, another instance can reprocess the job. That removes the main architectural objection to using interruptible compute.
Alibaba Cloud describes ECS spot instances as unused ECS capacity offered at substantially reduced prices compared with standard pay-as-you-go instances. The documented recommended scenarios include short- term tasks, data analytics, and applications that are highly fault tolerant and able to tolerate interruption.
Savings Plans and reserved-instance-style commitments can reduce costs for predictable long-term baseline consumption, but this workload runs only at two scheduled times each day. Purchasing committed capacity for a sporadic workload can leave paid capacity economically underutilized. Higher-specification pay-as-you- go instances also do not inherently minimize compute cost.
Using a launch template with preemptible/spot ECS instances allows Auto Scaling to add inexpensive compute when the batch workload requires it, while the application ' s retry mechanism handles interruptions.
Study Guide reference: Core Compute Infrastructure Deep Dive; Scalable Architecture on Alibaba Cloud; cost optimization for elastic compute.
50. Frage
Clarence runs a retail company that hosts an e-commerce website on Alibaba Cloud across multiple Alibaba Cloud regions. Clarence wants the website to be operational at all times to ensure customers can make purchases around the clock. The website stores data in a PolarDB for MySQL instance.
Which of the following solutions will provide the HIGHEST availability for the database?
Antwort: C
Begründung:
Global Database Network is the architecture specifically intended for geographically distributed PolarDB deployments requiring cross-region data replication, local read capability, and disaster recovery. A GDN contains a primary cluster plus secondary clusters in other regions. Data is continuously synchronized between them. Applications can connect to regional cluster endpoints; read requests can be served locally while write requests are routed to the primary cluster. Alibaba Cloud also supports switching the primary cluster to a secondary cluster, including forced switchover scenarios for failures.
Option C provides strong node-level and zone-level availability within a PolarDB cluster, but it does not deliver the same level of protection against an entire regional outage. Option D relies on backup restoration, which introduces significantly higher RTO and operational intervention. Option B invents an unnecessary Function Compute replication mechanism instead of using PolarDB ' s native cross-region replication.
For a mission-critical global e-commerce database, GDN provides the best combination of cross-region redundancy, replication, local reads, and regional failover capabilities.
Study Guide reference: Building Highly Available, Performant Cloud Architecture - PolarDB high availability, cross-region disaster recovery, and Global Database Network.
51. Frage
......
Nun bieten viele Ausbildungsinstitute Ihnen die Schulungsunterlagen zur Alibaba Cloud CAP-C01 Zertifizierungsprüfung. Meistens bekommen die Kandidaten per diese Websites keine ausführlichen Materialien. Denn ihre Materialien zur Alibaba Cloud CAP-C01 Zertifizierungsprüfung sind breit gefächert und nicht zielgerichtet. So können sie keine Aufmerksamkeit der Kandidaten gewinnen.
CAP-C01 PDF: https://www.pass4test.de/CAP-C01.html