Question # 1
An online education website is built based on ECS. SLB and Auto Scaling, which greatly
reduces resource cost, O&M cost and without compromising system stability and user
experience.
Now. the website admin wants to keep the user information (such as source IP, accessed
URLs, and duration on each page) for analysis to support their upcoming campaign events
In this case, which of the following statements is NOT correct? | | A. Let each ECS instance in the scaling group keeps the user access information it
processes Thus, the data saved by these ECS instances can be accessed and analyzed at
any time, making the solution not only simple, but also efficient reliable, and cost-effective. | | B. Save user-related access information to ApsaraDB for RDS in real time or quasi real
time, which can then be used for performing query and analysis. | | C. Synchronize user-Synchronize user-related access information to ApsaraDB for
Memcache in real time or quasi real time. Then, access Memcache using an application or
make the data in Memcache persistent based on certain rules and then can use the
persistent data for further analysis. | | D. Synchronize user-related access information to OSS in real time or quasi real time for
further use |
A. Let each ECS instance in the scaling group keeps the user access information it
processes Thus, the data saved by these ECS instances can be accessed and analyzed at
any time, making the solution not only simple, but also efficient reliable, and cost-effective.
Explanation: This statement is not correct because it is not a good practice to store user
access information on each ECS instance in the scaling group. This is because the ECS
instances are dynamic and can be added or removed by the Auto Scaling service based on
the load and demand. Therefore, the data stored on the ECS instances may be lost or
inconsistent if the instances are terminated or replaced. Moreover, this approach does not
provide a centralized and unified way to access and analyze the data, which may affect the
accuracy and efficiency of the analysis. Therefore, it is better to use other services such as
ApsaraDB for RDS, ApsaraDB for Memcache, or OSS to store the user access information
in a persistent and scalable manner. References: Auto Scaling, ApsaraDB for
RDS, ApsaraDB for Memcache, OSS
Question # 2
| Compared with traditional physical servers, upgrading an ECS instance is much easier.
Which of the following statements about upgrading an ECS instance is false? | | A. You can upgrade the CPU, memory, and bandwidth | | B. Upgrading the configuration of the ECS instance requires no' redeployment or data migration. | | C. Upgrading network bandwidth does not require the ECS instance to restart. | | D. You can change an instance's operating system without rebooting. |
D. You can change an instance's operating system without rebooting.
Explanation: Changing an instance’s operating system requires creating a custom image
or using a public image, and then replacing the system disk of the instance. This process
will cause the instance to restart. Therefore, this statement is false. References: ECS User
Guide: Replace the system disk (non-public image) and ECS User Guide: Replace the
system disk (public image)
Question # 3
| The difference between public and private Server Load Balancers (SLBs) is that private
SLBs connect to their backend ECS instances using the private network (Intranet) while
public SLBs connect to their backend ECS instances using the public network (Internet). | | A. True | | B. False |
A. True
Explanation: The difference between public and private Server Load Balancers (SLBs) is
that private SLBs connect to their backend ECS instances using the private network
(Intranet) while public SLBs connect to their backend ECS instances using the public network (Internet). This is true according to the Alibaba Cloud documentation on
SLB1. Public SLBs are used to distribute traffic from the Internet to ECS instances, while
private SLBs are used to distribute traffic within a VPC or a classic
network2. References: 1: Server Load Balancer - Alibaba Cloud Documentation
Center 2: Create a Server Load Balancer instance - Server Load Balancer - Alibaba Cloud
Documentation Center
Question # 4
| Alibaba Cloud Content Delivery Network (CDN) is a distributed network that is built and
overlaid on the bearer network Moreover it is composed of edge node server clusters
distributed across different regions. It replaces the traditional data transmission mode,
which is centered on Web servers. When using Alibaba Cloud CDN, a user's request wilt
first reach the edge node, and then receive data from the origin site by means of back-tosource
Moreover, the admin can obtain visitor's real IP on the origin site. Which of the
following descriptions relate to "obtaining visitors real IP" are correct? (Number of correct
answers: 2) | | A. "Visitor's real IP" is saved in "X-Forwarded-For" header in HTTP protocol. It can be
directly obtained in the user-defined LOG of Apache and Nginx. | | B. "Visitor's real IP" can only be obtained by modifying the application | | C. You can one-step activate the "recording visitor's real IP" function in Alibaba Cloud CDN
console to directly view the visitor's real IP in the access log. | | D. In Windows, if IIS is used: after installing "F5XForwardedFor" extension module.
'Visitor's real IP" can then be seen in the log. |
A. "Visitor's real IP" is saved in "X-Forwarded-For" header in HTTP protocol. It can be
directly obtained in the user-defined LOG of Apache and Nginx.
C. You can one-step activate the "recording visitor's real IP" function in Alibaba Cloud CDN
console to directly view the visitor's real IP in the access log.
Question # 5
OSS supports multi-part uploading for large files, namely dividing a large file into multiple
parts and uploading them in order. This function is suitable for scenarios such as uploading
large files or uploading files with poor connectivity.
After completing all the multi-part uploading tasks, if you forget to invoke the "Complete
Multipart Upload" interface, there will be fragment files left in OSS, occupying bucket
storage space-To facilitate deleting those files, OSS provides the________function. | | A. OpenAPI batch deletion | | B. Online batch deletion | | C. Bucket clearing | | D. Fragment management |
D. Fragment management
Explanation: OSS provides the fragment management function to help you delete the
fragment files left in OSS after you forget to invoke the “Complete Multipart Upload”
interface. Fragment management allows you to list, delete, or restore the fragment files in a
bucket. You can use the OSS console, OSS SDKs, or OSS APIs to perform fragment
management operations. OpenAPI batch deletion, online batch deletion, and bucket
clearing are not the functions provided by OSS to delete the fragment files.
Question # 6
| You are using Auto Scaling with one scaling group already created, then you want to
execute a task at a specific time such as removing 1 ECS instance every night at 00:00. To
achieve this, which of the following operations should be performed'? (Number of correct
answers; 2) | | A. Create a scaling rule | | B. Create a scheduled task. | | C. Create a new scaling group. | | D. Create an event-triggered task. |
A. Create a scaling rule
B. Create a scheduled task.
Explanation: To execute a task at a specific time such as removing 1 ECS instance every
night at 00:00, you need to perform two operations: create a scaling rule and create a
scheduled task. A scaling rule is a set of instructions that defines how Auto Scaling scales
computing resources in response to changes in business load. A scheduled task is a type
of scaling task that can execute a specified scaling rule at a specified time. By creating a
scaling rule that removes 1 ECS instance from the scaling group, and creating a scheduled
task that executes this scaling rule every night at 00:00, you can achieve the desired result.
You do not need to create a new scaling group, because you already have one scaling
group created. You also do not need to create an event-triggered task, because this type of
scaling task is triggered by events such as Cloud Monitor alarms or API calls, not by a
specific time.
Question # 7
| When using Alibaba Cloud SLB, users can enable the health check function If a backend
ECS instance A is running abnormally, SLB will isolate it and forward the requests to other
ECS instances, and when the backend ECS instance A is back to normal, SLB will again
forward requests to it. | | A. True | | B. False |
A. True
Explanation: When using Alibaba Cloud SLB, users can enable the health check function
to monitor the availability of the backend ECS instances. If a backend ECS instance A is
running abnormally, SLB will stop forwarding requests to it and distribute them to other
healthy ECS instances. This way, SLB can ensure the high availability and reliability of the
service. When the backend ECS instance A is back to normal, SLB will resume forwarding
requests to it. SLB performs health checks on the backend ECS instances at regular
intervals and updates their status accordingly. Users can configure the health check
parameters such as the protocol, port, interval, timeout, and threshold on the SLB console
or by using the API. References: 1 - Health checks - Server Load Balancer - Alibaba Cloud
Document Center - Health check overview
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