Alibaba ACA-Cloud1 Exam Dumps & Practice Test Questions

Question 1:

Is it true that cloud computing services allow users to select system specifications, complete payment, and start using the service immediately, while the management of the physical infrastructure is handled entirely by the cloud provider?

A. TRUE
B. FALSE

Correct Answer: A

Explanation:

Cloud computing is designed to offer on-demand access to computing resources with minimal user involvement in hardware management. When a user wants to deploy a virtual machine or other resources through cloud services like AWS, Microsoft Azure, or Google Cloud, the process is typically streamlined and highly automated. The user simply selects the instance size or specification—such as the number of virtual CPUs, amount of memory, and disk space—pays for the service, and within moments, the virtual machine is provisioned and ready to use.

This ease of use is made possible because the underlying physical infrastructure is fully managed by the cloud service provider. The actual physical servers, networking hardware, storage arrays, and data centers are abstracted from the user’s view. Instead, users interact with a web-based interface or API to deploy and manage virtualized resources. This abstraction allows users to focus on their applications and workloads, rather than infrastructure maintenance or physical hardware concerns.

The statement in the question accurately reflects the cloud computing model: it is simple, user-friendly, and infrastructure-transparent. The providers take responsibility for redundancy, hardware replacement, patching, security updates, and overall system health. Users benefit from rapid scalability, global availability, and cost-effective pricing models, without needing in-depth knowledge of the backend systems.

Given these characteristics, cloud computing is considered a highly accessible and flexible IT solution for businesses of all sizes. Whether deploying a small development environment or a large enterprise workload, the process remains consistent: configure, pay, and deploy.

Therefore, the correct answer is A. TRUE.

Question 2:

Which term best describes a data backup that captures the exact state of a disk at a specific moment in time?

A. image
B. snapshot
C. template
D. EIP

Correct Answer: B

Explanation:

A snapshot is a point-in-time representation of the state of a disk or data volume. It provides a way to capture the current data, configurations, and structure of the system at a specific moment, allowing users to revert back to that state if needed. Snapshots are widely used in both local storage systems and cloud environments such as AWS and Azure. They are ideal for backup, data protection, system recovery, and change tracking.

Unlike full backups, snapshots often use incremental or differential techniques to record only the changes made since the last snapshot, which conserves storage and reduces backup time. This is particularly useful in environments where data changes frequently but complete backups are not practical on a daily basis.

Now, let’s clarify why the other choices are incorrect:

• A (image): While an image is also a copy of a system or disk, it usually represents a full system configuration and is used for deploying new machines. It’s not intended for time-specific backups or rollbacks.

• C (template): A template refers to a pre-configured system or application setup used for creating multiple instances in a standardized way. It does not serve the purpose of backing up or restoring system state.

• D (EIP): Elastic IP (EIP) is a networking feature in cloud platforms that provides a static, public IP address. It has no relevance to data backup or storage snapshots.

Snapshots are fast, efficient, and essential in disaster recovery planning. They allow administrators to quickly recover from system failures, accidental deletions, or data corruption. Their ability to capture system state at precise intervals is what makes them the correct choice here.

Hence, the right answer is B. snapshot.

Question 3:

Which service is best suited to work alongside multiple low-spec I/O-optimized ECS instances to ensure a highly available cloud architecture?

A. Server Load Balancer
B. RDS
C. Auto Scaling
D. OSS

Correct Answer: C

Explanation:

In designing a high-availability system using Elastic Compute Service (ECS) instances—especially those optimized for I/O and with lower configurations—it's essential to ensure that the system can automatically adapt to changes in load. This means the system must be able to add or remove ECS instances based on real-time performance metrics, such as CPU utilization, memory usage, or request traffic. This is exactly the function of Auto Scaling.

Auto Scaling automatically monitors system metrics and dynamically adjusts the number of ECS instances in a group. When demand increases, it launches new instances to distribute the load more evenly. When demand decreases, it removes unnecessary instances to reduce costs. This ensures that the application remains responsive and resilient without manual intervention, making it ideal for high-availability architectures.

While Server Load Balancer (SLB) plays a crucial role in directing incoming traffic evenly across multiple ECS instances, it doesn't manage the creation or deletion of those instances. It ensures load distribution but must be paired with Auto Scaling to support elastic resource provisioning.

RDS (Relational Database Service) offers high availability for databases but has no function in scaling compute resources like ECS. It's vital for managing data but not for managing ECS instance counts.

OSS (Object Storage Service) provides scalable object storage for data like backups, media, or logs. While valuable in a cloud environment, it has no role in ECS instance scaling or availability.

In summary, Auto Scaling is the service that dynamically manages the number of ECS instances to maintain system performance and availability. It automates infrastructure scaling, responds to real-time load changes, and ensures the system can handle fluctuations without downtime. This makes C (Auto Scaling) the correct answer for supporting high availability with multiple ECS instances.

Question 4:

What does the acronym ECS represent in Alibaba Cloud terminology?

A. Elastic Compute Service
B. Elastic Computing Server
C. Elastic Cost Server
D. Elastic Communication Server

Correct Answer: A

Explanation:

ECS stands for Elastic Compute Service, which is Alibaba Cloud’s virtualized computing platform. It offers scalable, flexible, and reliable computing power in the cloud, allowing users to deploy applications and workloads without maintaining physical servers. ECS is designed to support a wide variety of business needs, including web hosting, data processing, high-performance computing, and large-scale application deployment.

With ECS, users can quickly create and manage virtual machines (called instances), choose from a variety of instance types, and scale their infrastructure up or down depending on demand. This flexibility is what makes the service "elastic." It enables dynamic resource allocation, supporting both short-term spikes in traffic and long-term growth, while also keeping operational costs efficient.

Option B, Elastic Computing Server, might sound plausible but is not the correct term. It inaccurately names the service and is not used in official documentation or by Alibaba Cloud.

Option C, Elastic Cost Server, is incorrect as well. While cost efficiency is a benefit of using ECS, the word "cost" is not part of the service’s name.

Option D, Elastic Communication Server, also misses the mark. Communication services typically refer to tools for managing messaging or data transfer, not for executing computing workloads.

The name Elastic Compute Service accurately reflects the service’s ability to provide on-demand, scalable computing resources in the cloud. It supports rapid provisioning, automated scaling, and high availability, making it an essential service in cloud infrastructure. Therefore, the correct answer is A.

Question 5:

Which of the following statements is not implied by Alibaba Cloud’s restriction that intranet communication is unavailable between services in different regions?

A. ECS instances located in separate regions are unable to communicate over the intranet.
B. ECS instances and services like ApsaraDB for RDS or OSS in different regions cannot interact through the intranet.
C. You cannot use Server Load Balancer to distribute traffic across ECS instances in multiple regions.
D. Server Load Balancer can be used with ECS instances located in various regions.

Correct Answer: D

Explanation:

Alibaba Cloud imposes a limitation where internal (intranet) communication is not allowed between resources deployed in different regions. This affects communication between services like ECS, RDS, and OSS when they are not in the same geographical region. However, the question asks which statement is not a correct interpretation of this limitation.

A. This statement is correct. ECS (Elastic Compute Service) instances located in different regions are isolated at the intranet level. They cannot directly communicate without using public IP addresses or setting up cross-region networking solutions such as VPN or Express Connect.

B. This is also true. If an ECS instance is in one region and an RDS or OSS service is in another, intranet communication between them is not possible. Users would need to rely on internet-based communication or custom networking solutions.

C. This statement is accurate as well. Alibaba Cloud's Server Load Balancer (SLB) is designed to operate within a single region. It cannot distribute incoming traffic across ECS instances deployed in multiple regions, which reinforces the idea that services across regions are isolated.

D. This is the only incorrect statement and, therefore, the correct answer. It falsely implies that Server Load Balancer can manage ECS instances across multiple regions, which contradicts Alibaba Cloud's architectural design. SLB operates regionally and does not provide global or cross-region load balancing. To manage multi-region services, customers need to implement global traffic management strategies, such as DNS-based load balancing or third-party CDN services.

In conclusion, while A, B, and C reflect Alibaba Cloud's regional isolation policy correctly, D misrepresents the functionality and is not supported, making it the correct choice for this question.

Question 6:

Which billing model is most suitable for a ticket booking service with consistent and predictable traffic patterns?

A. Pay-As-You-Go
B. Prepaid
C. Paypal-pay
D. bitcoin-pay

Correct Answer: B

Explanation:

For an online ticket booking service that experiences steady and predictable levels of traffic, selecting the right billing model is key to achieving cost-efficiency and budget stability.

B. Prepaid is the most appropriate model in this case. With prepaid billing, users commit to and pay for cloud resources in advance, typically for a fixed period such as monthly or annually. This model is ideal for businesses with consistent usage patterns because it allows them to lock in discounted rates, manage long-term expenses more predictably, and avoid unexpected overage charges. Since the traffic is not expected to fluctuate significantly, prepaid plans ensure that the organization can budget more effectively while enjoying price savings.

A. Pay-As-You-Go, while flexible and suitable for applications with dynamic or unpredictable workloads, becomes less efficient when traffic remains steady. Although this model charges based on real-time usage, it may lead to higher long-term costs for businesses with fixed demand. In contrast, prepaid pricing provides more certainty in financial planning and typically includes lower per-unit costs.

C. Paypal-pay is not a billing model but a customer-facing payment method. It refers to how end-users pay for services like ticket purchases and does not influence how the underlying infrastructure costs are billed by the cloud provider.

D. bitcoin-pay, like PayPal, is a method of payment rather than a billing structure. While some platforms may accept Bitcoin for transactions, this has no relevance to how cloud services themselves are priced or charged, especially in enterprise-grade cloud environments like Alibaba Cloud.

Therefore, for a business scenario where demand is predictable, and traffic levels remain constant, the Prepaid option is the most strategic and cost-effective billing method. It aligns well with the business model of a ticket booking service and supports financial efficiency through upfront payments and reduced pricing.

Question 7:

In the context of ECS (Elastic Cloud Storage), which of the following is not typically associated with the term “Elastic”?

A. Elastic Computing
B. Elastic Storage
C. Elastic Network
D. Elastic Administration

Correct Answer: D

Explanation:

In cloud-based systems like Elastic Cloud Storage (ECS), the term “Elastic” generally refers to the system’s ability to automatically scale resources—such as storage, compute power, or networking—based on demand. This elasticity ensures that resources are used efficiently, workloads are supported dynamically, and performance remains consistent even during fluctuations in usage. Let's analyze each option to understand which one doesn't fit this model.

A. Elastic Computing refers to the capability of dynamically scaling compute resources, such as virtual machines or containers. Even though ECS is primarily a storage solution, it operates within a larger cloud ecosystem that includes elastic computing. Therefore, the term is very much in line with the elastic nature of cloud services.

B. Elastic Storage is the core principle behind ECS. It allows users to expand or reduce storage capacity as needed, without manual intervention. This is essential for managing big data workloads or unpredictable storage demands. ECS was designed to offer this kind of scalable and cost-effective storage solution, making this option absolutely valid.

C. Elastic Network refers to the flexible allocation of network bandwidth and infrastructure in response to traffic demands. While ECS may not directly implement elastic networking itself, it typically resides within a cloud infrastructure that supports such capabilities. Thus, elastic networking complements the ECS environment, especially when data movement across networks needs to be fast and scalable.

D. Elastic Administration is the outlier. This term is not commonly used in cloud service definitions. Administration of ECS, while potentially streamlined and efficient, does not automatically scale or adjust itself like the core services (compute, storage, networking). Management and administration tasks still largely depend on human configuration and policy definitions. Therefore, this is not a recognized feature of “elastic” in ECS.

Hence, D is the correct answer because "Elastic Administration" is not a conventional or defining attribute of the ECS product’s elastic features.

Question 8:

If your website experiences occasional traffic surges that last for a short time, which cloud feature would best help you manage those traffic peaks while maintaining performance?

A. Server Load Balancer
B. Auto Scaling
C. RDS
D. VPC

Correct Answer: B

Explanation:

When running a high-traffic website, handling temporary spikes in user activity efficiently is critical to maintaining a seamless experience. Cloud environments offer several features to handle these situations, but not all are equally effective for this use case. Let’s evaluate the options.

A. Server Load Balancer is essential for distributing incoming traffic across multiple backend servers. It helps optimize resource use and prevents any one server from becoming overwhelmed. However, while it balances traffic, it doesn’t increase the number of backend resources on its own. If all the servers are at capacity, a load balancer won’t alleviate the performance bottleneck—it will just distribute the load more evenly among already maxed-out resources.

B. Auto Scaling is the optimal solution for this scenario. It automatically adds or removes compute resources (like virtual machines or containers) based on current traffic demands. During sudden spikes, Auto Scaling launches new instances to accommodate the additional load. Once the spike subsides, it reduces the instance count, saving costs. This ensures that the website remains responsive and scalable without manual intervention, making it highly suitable for unpredictable traffic patterns.

C. RDS (Relational Database Service) is used for managing relational databases in the cloud. While important for data storage and transactions, RDS focuses on backend database operations. It does not directly manage incoming web traffic or the scaling of web servers. So, while helpful for data consistency and performance, it is not the best solution for handling web traffic spikes.

D. VPC (Virtual Private Cloud) helps define and isolate network configurations for your cloud environment. It provides security and network segmentation but doesn’t manage resource scaling or traffic surges on its own. It’s more of a structural and security tool rather than a dynamic performance optimizer.

Therefore, B is the correct answer. Auto Scaling ensures that your infrastructure grows and shrinks with demand, making it the most effective solution for maintaining website performance during sudden traffic spikes.

Question 9:

Your website frequently experiences unpredictable surges in traffic. To effectively respond to these fluctuating demands, which service should be combined with SLB (Server Load Balancer) and ECS (Elastic Compute Service) to ensure optimal performance and resource efficiency?

A. RDS
B. Auto Scaling
C. VPC
D. MaxCompute

Correct Answer: B

Explanation:

When dealing with erratic and difficult-to-predict traffic surges on a website, the best approach is to implement a scalable and automated infrastructure. Combining SLB (Server Load Balancer) with Auto Scaling and ECS (Elastic Compute Service) provides an ideal solution to maintain system performance and responsiveness without wasting resources.

Auto Scaling enables automatic adjustments to the number of ECS instances based on traffic demands. When visitor numbers increase, Auto Scaling launches additional ECS instances to share the load. When the traffic subsides, the number of running instances is reduced accordingly. This ensures that the system can handle high traffic without human intervention and reduces operational costs by avoiding unnecessary over-provisioning.

SLB, on the other hand, distributes incoming traffic evenly across available ECS instances. This prevents any single instance from becoming a bottleneck and ensures balanced resource utilization. Together, SLB and Auto Scaling form a robust solution for maintaining application availability and responsiveness during unpredictable usage peaks.

The other options, while important in cloud architecture, are not directly suited for managing fluctuating traffic:

• A. RDS is used for managing relational databases but doesn't provide compute resource scaling.

• C. VPC focuses on creating isolated network environments and does not deal with compute resource management or load balancing.

• D. MaxCompute is designed for large-scale data analytics, not for web traffic scaling.

In conclusion, for websites experiencing unpredictable traffic peaks, pairing Auto Scaling with SLB and ECS enables automatic, responsive scaling of resources, ensuring consistent performance and efficient use of infrastructure.

Question 10:

Which built-in cloud service works directly with ECS (Elastic Compute Service) to intelligently distribute workloads and automatically manage traffic fluctuations without manual intervention?

A. Server Load Balancer
B. OSS
C. RDS
D. VPC

Correct Answer: A

Explanation:

The Server Load Balancer (SLB) is the service specifically designed to integrate seamlessly with Elastic Compute Service (ECS) for distributing incoming network or application traffic. It plays a vital role in maintaining system stability and performance by automatically spreading traffic across multiple ECS instances.

When traffic increases, SLB ensures that the load is evenly balanced, preventing any single ECS instance from becoming a point of failure. This not only improves application responsiveness but also boosts overall availability. Because SLB dynamically adjusts to changing traffic conditions without requiring manual changes, it simplifies system administration and improves efficiency.

Option A: SLB is the correct choice because it is tailored for traffic management and balancing within cloud environments. It allows applications to remain scalable and responsive even during unexpected traffic spikes.

The remaining options, while useful in other contexts, do not address the specific need of managing variable traffic loads:

• B. OSS (Object Storage Service) is used to store and manage unstructured data like videos, documents, and backups. It is not involved in routing or balancing traffic.

• C. RDS (Relational Database Service) supports cloud-hosted databases but does not control or balance incoming web traffic.

• D. VPC (Virtual Private Cloud) provides isolated networking capabilities but does not handle traffic distribution.

To summarize, Server Load Balancer is the key component for intelligently handling varying traffic levels in conjunction with ECS. It provides automated, reliable, and scalable traffic management—making it the ideal solution in dynamic cloud environments.