CAP-C01 Prüfungsunterlagen - CAP-C01 Musterprüfungsfragen

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Alibaba Cloud CAP-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Building Highly Available, Performant Cloud Architecture	22%	- Leveling up Your Core Infrastructure 1. Performance and Scalability 2. High Availability and Disaster Recovery 3. Load Balancing and Application Architecture
Securing Workloads on Alibaba Cloud	22%	- Alibaba Cloud Security Deep Dive 1. Identity and Access Management 2. Data Protection and Security Compliance 3. Network and Application Security
Delivering Services and Content on Alibaba Cloud	12%	- Delivering Services and Content on Alibaba Cloud 1. Global Accelerator and Edge Services 2. Content Delivery Network (CDN) 3. Application and Service Delivery
Building Enterprise-grade Networks on Alibaba Cloud	18%	- Cloud Networking Deep Dive 1. Network Connectivity and Traffic Management 2. Virtual Private Cloud (VPC) 3. Enterprise and Hybrid Network Architecture
Core Infrastructure Deep Dive	26%	- Core Storage Infrastructure Deep Dive 1. Elastic Block Storage and File Storage 2. Object Storage Service (OSS) - Core Compute Infrastructure Deep Dive 1. Elastic Compute Service (ECS) 2. Auto Scaling and Compute Resource Management - Best Practices for Database Services 1. AnalyticDB and Other Database Services 2. ApsaraDB RDS and PolarDB

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Alibaba Cloud Certified Professional: Cloud Architect CAP-C01 Prüfungsfragen mit Lösungen (Q50-Q55):

50. 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)

A. PolarDB for PostgreSQL
B. Object Storage Service (OSS)
C. E-MapReduce (EMR)
D. Elasticsearch
E. MaxCompute

Antwort: B,C,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.

51. Frage
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?

A. Deploy network ACLs to manage traffic at the vSwitch level instead.
B. Develop a centralized logging system for monitoring all security group activities.
C. Leverage advanced security groups to contain higher IP counts across VPCs.
D. Use basic security groups to create rules referencing other security groups, simplifying traffic control.

Antwort: D

Begründung:
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.

52. Frage
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?

A. Implement access control via IP whitelist to control who has access to the database.
B. Use the permission management feature of Data Management Service (DMS) to control and audit user access to databases.
C. Use RAM policies to restrict access to databases and implement ActionTrail to audit actions performed on the database.
D. Set up a WAF instance in front of the database to block SQL injection attempts and ensure the security of the data.

Antwort: B

Begründung:
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.

53. Frage
A media company is developing a video processing pipeline utilizing Alibaba Cloud Container Service for Kubernetes (ACK). They want to use a serverless approach to accommodate unpredictable workloads but are unsure about its impact on logging.
What considerations should the company keep in mind regarding logging in a serverless ACK environment?

A. Utilize SLS for its seamless integration, capturing logs without infrastructure management complexity.
B. Presume that real-time log analysis will be limited and avoid real-time analytics.
C. Use Application Real-time Monitoring Service to implement resource monitoring.
D. Anticipate increased latency in logging due to scaling events and prioritize using dedicated resources.

Antwort: A

Begründung:
Simple Log Service (SLS) is the appropriate logging platform for an ACK Serverless environment. Serverless Kubernetes removes much of the node-management responsibility, so the logging architecture should follow the same managed-service model rather than introduce dedicated log-processing infrastructure.
Alibaba Cloud provides native SLS integration for ACK Serverless. SLS can collect container standard output and application log files and then provide centralized search, analysis, dashboards, alerting, and downstream shipping. Alibaba documentation specifically states that ACK Serverless provides managed SLS capabilities and supports collecting container logs directly into SLS.
ARMS is primarily an application performance monitoring and observability platform; it does not replace SLS as the core centralized log-ingestion service. Option C is incorrect because SLS supports near-real-time collection and analysis. Option D also misunderstands serverless logging: scaling events do not inherently require dedicated logging servers.
The architecture should therefore preserve the operational advantages of serverless compute by using SLS as a fully managed, elastic logging layer capable of handling workload fluctuations without requiring the organization to provision and administer separate logging infrastructure.
Study Guide reference: Core Infrastructure Deep Dive - ACK, serverless container architecture, observability, and Simple Log Service.

54. 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?

A. Create a managed ACK cluster and configure the node pool with preemptible instances.
B. Create two managed ACK clusters and configure one to use a node pool with pay-as-you-go instances, and one to use a node pool with preemptible instances.
C. Create a managed ACK cluster and configure the node pool with subscription instances.
D. Create an Auto Scaling group and associate a launch template that uses preemptible instances.
Configure the user data to add these instances to a dedicated ACK cluster.

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.

55. Frage
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