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About the test:

The Site Reliability Engineer (SRE) Test uses scenario-based questions to evaluate knowledge of cloud technologies, system design, automation, and troubleshooting skills. It assesses understanding of infrastructure as code, continuous integration and deployment, and monitoring systems. The test also measures proficiency in scripting languages and hands-on coding for infrastructure problem-solving. It further includes real-world situations to examine critical thinking and incident management abilities.

Covered skills:

  • System Design and Architecture
  • Continuous Integration/Continuous Deployment (CI/CD)
  • Monitoring and Logging Systems
  • Performance Tuning and Load Balancing
  • Understanding of Security Principles
  • Microservices and Containerization
  • Traffic Management and Distributed Systems
  • Capacity Planning and Resource Optimization
  • Infrastructure as Code (IaC)
  • Understanding of Networking Concepts
  • Incident Management and Post-Mortem Analysis
  • Database Reliability and Scalability
  • Disaster Recovery Planning and Execution
  • Service Level Objectives (SLOs) and Error Budgets
  • High Availability and Resiliency Strategies

9 reasons why
9 reasons why

Adaface Site Reliability Assessment Test is the most accurate way to shortlist Site Reliability Engineer (SRE)s



Reason #1

Tests for on-the-job skills

The Site Reliability Test helps recruiters and hiring managers identify qualified candidates from a pool of resumes, and helps in taking objective hiring decisions. It reduces the administrative overhead of interviewing too many candidates and saves time by filtering out unqualified candidates at the first step of the hiring process.

The test screens for the following skills that hiring managers look for in candidates:

  • Proficient in Site Reliability Engineering practices and principles
  • Experience in DevOps methodologies and tools
  • Knowledge of Docker containerization
  • Understanding of Kubernetes orchestration
  • Ability to design robust systems and architectures
  • Familiarity with Infrastructure as Code (IaC) concepts
  • Expertise in Continuous Integration/Continuous Deployment (CI/CD) pipelines
  • Comprehension of Networking Concepts in distributed systems
  • Skill in implementing Monitoring and Logging Systems
  • Proficient in Incident Management and Post-Mortem Analysis
  • Experience in Performance Tuning and Load Balancing
  • Expertise in ensuring Database Reliability and Scalability
  • Knowledge of Security Principles in system design
  • Familiarity with Disaster Recovery Planning and Execution
  • Understanding of Microservices and Containerization
  • Skill in defining Service Level Objectives (SLOs) and Error Budgets
  • Knowledge of Traffic Management and Distributed Systems
  • Expertise in High Availability and Resiliency Strategies
  • Ability to perform Capacity Planning and Resource Optimization
Reason #2

No trick questions

no trick questions

Traditional assessment tools use trick questions and puzzles for the screening, which creates a lot of frustration among candidates about having to go through irrelevant screening assessments.

View sample questions

The main reason we started Adaface is that traditional pre-employment assessment platforms are not a fair way for companies to evaluate candidates. At Adaface, our mission is to help companies find great candidates by assessing on-the-job skills required for a role.

Why we started Adaface
Reason #3

Non-googleable questions

We have a very high focus on the quality of questions that test for on-the-job skills. Every question is non-googleable and we have a very high bar for the level of subject matter experts we onboard to create these questions. We have crawlers to check if any of the questions are leaked online. If/ when a question gets leaked, we get an alert. We change the question for you & let you know.

How we design questions

These are just a small sample from our library of 10,000+ questions. The actual questions on this Site Reliability Test will be non-googleable.

🧐 Question

Medium

Error Budget Management
Latency Monitoring
Error Budgets
Distributed Tracing
Solve
You are a site reliability engineer responsible for maintaining a microservices-based e-commerce platform. Your system consists of several independent services, each deployed on its separate container within a Kubernetes cluster.

Your organization follows a strict Service Level Objective (SLO) to maintain user satisfaction, which mandates that the 95th percentile latency for all requests over a 30-day period should not exceed 200 ms.

The following pseudo-code represents a simplified version of the request processing in your system:
 image
You realize that over the first two weeks of the current 30-day window, the 95th percentile latency has risen to 250 ms. Analyzing further, you discover that out of 10 million requests, 600,000 requests took more than 200 ms to complete.

Given these facts, which of the following is the most effective course of action that you can take to troubleshoot and reduce the system's latency issues?
A: Change the latency log level to debug to gather more information.
B: Increase the SLO for latency to 250 ms to accommodate the current system performance.
C: Introduce more instances of each microservice to handle the increased load.
D: Implement a distributed tracing mechanism to identify the microservices contributing most to the latency.
E: Implement request throttling to reduce the overall number of requests.

Medium

Incident Response Procedure
Incident Management
Disaster Recovery
System Optimization
Solve
You are an SRE for a large-scale distributed system. The system architecture includes five primary servers (P1 to P5) and three backup servers (B1 to B3). The system uses an advanced load balancer that distributes the workload across the primary servers evenly. 

One day, the monitoring system triggers an alert that server P5 is not responding. The pseudo-code for the current incident response procedure is as follows:
 image
The function 'replaceServer(server)' replaces the failed server with a new one from a pool of spare servers, which takes around 30 minutes. 

The current discussion revolves around modifying this procedure to improve system resilience and minimize potential downtime. The backup servers are underutilized and could be leveraged more effectively. Also, the load balancer can dynamically shift workloads based on server availability and response time.

Based on the situation above, what is the best approach to optimize the incident response procedure?
A: Implement an early warning system to predict server failures and prevent them.
B: Upon failure detection, immediately divert traffic to backup servers, then attempt to reboot the primary server, and replace if necessary.
C: Replace the failed server without attempting a reboot and keep the traffic on primary servers.
D: Enable auto-scaling to add more servers when a primary server fails.
E: Switch to a more advanced load balancer that can detect and handle server failures independently.

Medium

Service Balancer Decision-making
Load Balancing
Distributed Systems
Concurrent Processing
Solve
You are a Site Reliability Engineer (SRE) working on a distributed system with a load balancer that distributes requests across a number of servers based on the current load. The decision algorithm for load balancing is written in pseudo-code as follows:
 image
The system receives a large burst of requests. In response to this, some engineers propose increasing the `threshold` value to allow for more requests to be handled concurrently by each server. Others argue that instead, we should increase the number of servers to distribute the load more evenly. 

Consider that the system has auto-scaling capabilities based on the average load of all servers, but the scaling operation takes about 15 minutes to add new servers to the pool. Also, the servers' performance degrades sharply if the load is much above the threshold.

One of the engineers also proposes modifying the getServer function logic to distribute the incoming load one by one across all servers to trigger the average load to rise faster.

Based on this scenario, what is the best approach?
A: Increase the `threshold` value to allow more requests on each server.
B: Add more servers to distribute the load, regardless of the auto-scaling delay.
C: Modify the getServer function to distribute the incoming load one by one across all servers to trigger the average load to rise faster.
D: Increase the `threshold` and add more servers simultaneously.
E: Manually trigger the auto-scaling process before the load increases.

Medium

Resource Analysis
Process Management
System Performance
Log Analysis
Solve
As a senior DevOps engineer, you are tasked with diagnosing performance issues on a Linux server running Ubuntu 20.04. The server hosts several critical applications, but lately, users have been experiencing significant slowness. Initial monitoring shows that CPU and memory utilization are consistently high. To identify the root cause, you check the output of `top` and `ps` commands, which indicate that a particular process is consuming an unusually high amount of resources. However, the process name is generic and does not clearly indicate which application or service it belongs to. You also examine `/var/log/syslog` for any unusual entries but find nothing out of the ordinary. Based on this situation, which of the following steps would most effectively help you identify and resolve the performance issue?
A: Increase the server's physical memory and CPU capacity.
B: Use the `lsof` command to identify the files opened by the suspect process.
C: Reboot the server to reset all processes.
D: Examine the `/etc/hosts` file for any incorrect configurations.
E: Run the `netstat` command to check for abnormal network activity.
F: Check the crontab for any recently added scheduled tasks.

Medium

Streamlined DevOps
Continuous Integration
Scripting
Solve
You are in charge of developing a Bash script for setting up a continuous integration pipeline for a web application. The source code is hosted in a Git repository. The script's goals include:

1. Ensuring the local copy of the repository in /var/www/html is updated to the latest version.
2. Creating a .env file with APP_ENV=production in the project root if it doesn't already exist.
3. Running a test suite with ./run_tests.sh and handling any test failures appropriately.
4. Logging the current timestamp and commit hash in deployment_log.txt in the project root if tests pass.

Which of the following script options would most effectively and safely accomplish these tasks?
 image

Medium

Docker Multistage Build Analysis
Multistage Builds
Optimization
Solve
Consider the following Dockerfile, which utilizes multistage builds. The aim is to build a lightweight, optimized image that just runs the application.
 image
The Dockerfile first defines a base image that includes Node.js and npm, then it creates an intermediate image to install the npm dependencies. Afterwards, it runs the tests in another stage and finally, creates the release image.

Which of the following statements are true?

A: The final image will include the test scripts.
B: If a test fails, the final image will not be created.
C: The node_modules directory in the final image comes from the base image.
D: The final image will only contain the necessary application files and dependencies.
E: If the application's source code changes, only the release stage needs to be rebuilt.

Easy

Docker Networking and Volume Mounting Interplay
Networking
Volume Mounting
Solve
You have two docker containers, X and Y. Container X is running a web service listening on port 8080, and container Y is supposed to consume this service. Both containers are created from images that don't have any special network configurations.

Container X has a Dockerfile as follows:
 image
And, you build and run it with the following commands:
 image
Container Y is also running alpine with python installed, and it's supposed to read data from the `/app/data` directory and send a GET request to `http://localhost:8080` every 5 minutes. The Dockerfile for container B is:
 image
And you run it with:
 image
Assuming all the python scripts work perfectly and firewall isn't blocking any connections, you find that container Y can't access the web service of container X via `http://localhost:8080` and also it can't read the data in `/app/data` directory. What could be the potential reason(s)?
A: Y can't access X's web service because they're in different Docker networks.
B: Y can't read the data because the volume is not shared correctly.
C: Both A and B are correct.
D: Both A and B are incorrect.

Medium

Dockerfile Optimization
Dockerfile
Multi-stage builds
Layer Caching
Solve
You have been asked to optimize a Dockerfile for a Python application that involves a heavy dependency installation. Here is the Dockerfile you are starting with:
 image
Given that the application's source code changes frequently but the dependencies listed in requirements.txt rarely change, how can you optimize this Dockerfile to take advantage of Docker's layer caching, reducing the build time?
A: Move the `RUN pip install` command to before the `COPY` command.
B: Change `COPY . /app` to `COPY ./app.py /app` and move the `RUN pip install` command to before the `COPY` command.
C: Add `RUN pip cache purge` before `RUN pip install`.
D: Replace the base image with `python:3.8-slim`.
E: Implement multi-stage builds.

Medium

Dockerfile Updates
Cache
Solve
Check the following Dockerfile used for a project (STAGE 1):
 image
We created an image from this Dockerfile on Dec 14 2021. A couple of weeks after Dec 14 2021, Ubuntu released new security updates to their repository. After 2 months, we modified the file (STAGE 2):
 image
Couple of weeks later, we further modified the file to add a local file ada.txt to /ada.txt (STAGE 3): (Note that ada.txt exists in /home/adaface and the dockerfile exists in /home/code folders)
 image
Pick correct statements:

A: If we run “docker build .” at STAGE 2, new Ubuntu updates will be fetched because apt-get update will be run again since cache is invalidated for all lines/layers of Dockerfile when a new line is added.
B: If we run “docker build .” at STAGE 2, new Ubuntu updates will not be fetched since cache is invalidated only for last two lines of the updated Dockerfile. Since the first two commands remain the same, cached layers are re-used skipping apt get update.
C: To skip Cache, “docker build -no-cache .” can be used at STAGE 2. This will ensure new Ubuntu updates are picked up.
D: Docker command “docker build .” at STAGE 3 works as expected and adds local file ada.txt to the image.
E: Docker command “docker build .” at STAGE 3 gives an error “no such file or directory” since /home/adaface/ada.txt is not part of the Dockerfile context.

Medium

Efficient Dockerfile
Dockerfile
Solve
Review the following Dockerfiles that work on two projects (project and project2):
 image
All Docker files have the same end result:

- ‘project’ is cloned from git. After running few commands, ‘project’ code is removed.
- ‘project2’ is copied from file system and permissions to the folder is changed.
Pick the correct statements:

A: File 1 is the most efficient of all.
B: File 2 is the most efficient of all.
C: File 3 is the most efficient of all.
D: File 4 is the most efficient of all.
E: Merging multiple RUN commands into a single RUN command is efficient for ‘project’ since each RUN command creates a new layer with changed files and folders. Deleting files with RUN only marks these files as deleted but does not reclaim disk space. 
F: Copying ‘project2’ files and changing ownership in two separate commands will result in two layers since Docker duplicates all the files twice.

Medium

ConfigMap and Secrets Interaction
Resource Management
Security
Solve
In a Kubernetes cluster, you are working on configuring a new deployment that should be able to access specific environment variables through both ConfigMap and Secrets resources. The deployment YAML is structured as follows:
 image
You have applied the above YAML successfully without any errors. Now, you are about to configure a service to expose the deployment. Before doing that, you want to confirm the security and setup implications.

Based on the above configuration, which of the following statements are true?
1. The DATABASE_PASSWORD will be mounted as an environment variable in plain text.
2. The ConfigMap data can be updated and the changes will be reflected automatically in the running pods without any need for a redeployment.
3. If a potential attacker gains access to the cluster, they would be able to retrieve the DATABASE_PASSWORD in plain text from the secrets resource as it is defined in stringData.
4. The APP_ENV and DATABASE_URL values are securely stored and cannot be accessed by non-admin users.
5. If a new container in the same pod is created, it would automatically have the DATABASE_PASSWORD environment variable configured.

Medium

Ingress from namespace
Network
Network Policies
Solve
You are tasked with deploying a Kubernetes network policy. Here are the specifications:

- Name of the policy: adaface-namespace
- Policy to be deployed in ‘chatbot’ namespace
- The policy should allow ALL traffic only from ‘tester’ namespace
- Policy should not allow communication between pods in the same namespace
- Traffic only from ‘tester’ namespace is allowed on all ports
Which of the following configuration files is BEST suited to create required dependencies and deploy the network policy?
 image

Medium

Pod Affinity and Resource Quota Compliance
Pod Scheduling
Resource Management
Solve
You are working on a Kubernetes project where you need to ensure that certain pods get scheduled on nodes based on the presence of other pods and to limit the amount of resources that can be consumed in a namespace. You have been given the following YAML file which contains a combination of a pod definition and a resource quota:
 image
With the application of the above YAML configuration, assess the validity of the statements and choose the correct option that lists all the true statements.
1. The critical-pod will only be scheduled on nodes where at least one pod with a label security=high is already running.
2. The critical-pod is adhering to the resource quotas defined in the compute-quota.
3. The compute-quota restricts the namespace to only allow a total of 1 CPU and 1Gi memory in requests and 2 CPUs and 2Gi memory in limits across all pods.
4. If a node has multiple pods labeled with security=high, the critical-pod can potentially be scheduled on that node, given other scheduling constraints are met.
5. The critical-pod exceeds the defined memory request quota as per the compute-quota.

Easy

Resource limits
Pods
Containers
Solve
How would you deploy a Kubernetes pod with the following specifications:

- Name of pod: adaface
- Resource limits: 1 CPU and 512Mi memory
- Image: haproxy
A: kubectl run adaface --image=haproxy --limits='cpu=1,memory=512Mi'
B: kubectl run adaface --image=haproxy --requests='cpu=1,memory=512Mi'
 image
🧐 Question🔧 Skill

Medium

Error Budget Management
Latency Monitoring
Error Budgets
Distributed Tracing

3 mins

Site Reliability Engineering
Solve

Medium

Incident Response Procedure
Incident Management
Disaster Recovery
System Optimization

3 mins

Site Reliability Engineering
Solve

Medium

Service Balancer Decision-making
Load Balancing
Distributed Systems
Concurrent Processing

2 mins

Site Reliability Engineering
Solve

Medium

Resource Analysis
Process Management
System Performance
Log Analysis

3 mins

DevOps
Solve

Medium

Streamlined DevOps
Continuous Integration
Scripting

2 mins

DevOps
Solve

Medium

Docker Multistage Build Analysis
Multistage Builds
Optimization

3 mins

Docker
Solve

Easy

Docker Networking and Volume Mounting Interplay
Networking
Volume Mounting

3 mins

Docker
Solve

Medium

Dockerfile Optimization
Dockerfile
Multi-stage builds
Layer Caching

2 mins

Docker
Solve

Medium

Dockerfile Updates
Cache

2 mins

Docker
Solve

Medium

Efficient Dockerfile
Dockerfile

2 mins

Docker
Solve

Medium

ConfigMap and Secrets Interaction
Resource Management
Security

2 mins

Kubernetes
Solve

Medium

Ingress from namespace
Network
Network Policies

3 mins

Kubernetes
Solve

Medium

Pod Affinity and Resource Quota Compliance
Pod Scheduling
Resource Management

2 mins

Kubernetes
Solve

Easy

Resource limits
Pods
Containers

3 mins

Kubernetes
Solve
🧐 Question🔧 Skill💪 Difficulty⌛ Time
Error Budget Management
Latency Monitoring
Error Budgets
Distributed Tracing
Site Reliability Engineering
Medium3 mins
Solve
Incident Response Procedure
Incident Management
Disaster Recovery
System Optimization
Site Reliability Engineering
Medium3 mins
Solve
Service Balancer Decision-making
Load Balancing
Distributed Systems
Concurrent Processing
Site Reliability Engineering
Medium2 mins
Solve
Resource Analysis
Process Management
System Performance
Log Analysis
DevOps
Medium3 mins
Solve
Streamlined DevOps
Continuous Integration
Scripting
DevOps
Medium2 mins
Solve
Docker Multistage Build Analysis
Multistage Builds
Optimization
Docker
Medium3 mins
Solve
Docker Networking and Volume Mounting Interplay
Networking
Volume Mounting
Docker
Easy3 mins
Solve
Dockerfile Optimization
Dockerfile
Multi-stage builds
Layer Caching
Docker
Medium2 mins
Solve
Dockerfile Updates
Cache
Docker
Medium2 mins
Solve
Efficient Dockerfile
Dockerfile
Docker
Medium2 mins
Solve
ConfigMap and Secrets Interaction
Resource Management
Security
Kubernetes
Medium2 mins
Solve
Ingress from namespace
Network
Network Policies
Kubernetes
Medium3 mins
Solve
Pod Affinity and Resource Quota Compliance
Pod Scheduling
Resource Management
Kubernetes
Medium2 mins
Solve
Resource limits
Pods
Containers
Kubernetes
Easy3 mins
Solve
Reason #4

1200+ customers in 75 countries

customers in 75 countries
Brandon

With Adaface, we were able to optimise our initial screening process by upwards of 75%, freeing up precious time for both hiring managers and our talent acquisition team alike!


Brandon Lee, Head of People, Love, Bonito

Reason #5

Designed for elimination, not selection

The most important thing while implementing the pre-employment Site Reliability Test in your hiring process is that it is an elimination tool, not a selection tool. In other words: you want to use the test to eliminate the candidates who do poorly on the test, not to select the candidates who come out at the top. While they are super valuable, pre-employment tests do not paint the entire picture of a candidate’s abilities, knowledge, and motivations. Multiple easy questions are more predictive of a candidate's ability than fewer hard questions. Harder questions are often "trick" based questions, which do not provide any meaningful signal about the candidate's skillset.

Science behind Adaface tests
Reason #6

1 click candidate invites

Email invites: You can send candidates an email invite to the Site Reliability Test from your dashboard by entering their email address.

Public link: You can create a public link for each test that you can share with candidates.

API or integrations: You can invite candidates directly from your ATS by using our pre-built integrations with popular ATS systems or building a custom integration with your in-house ATS.

invite candidates
Reason #7

Detailed scorecards & benchmarks

View sample scorecard
Reason #8

High completion rate

Adaface tests are conversational, low-stress, and take just 25-40 mins to complete.

This is why Adaface has the highest test-completion rate (86%), which is more than 2x better than traditional assessments.

test completion rate
Reason #9

Advanced Proctoring


Learn more

About the Site Reliability Online Test

Why you should use Pre-employment Site Reliability Test?

The Site Reliability Test makes use of scenario-based questions to test for on-the-job skills as opposed to theoretical knowledge, ensuring that candidates who do well on this screening test have the relavant skills. The questions are designed to covered following on-the-job aspects:

  • Understanding of system design and architecture principles
  • Proficiency in Infrastructure as Code (IaC)
  • Experience with continuous integration/continuous deployment (CI/CD) tools and processes
  • Knowledge of networking concepts and protocols
  • Familiarity with monitoring and logging systems
  • Ability to handle incident management and perform post-mortem analysis
  • Experience in performance tuning and load balancing
  • Understanding of database reliability and scalability
  • Knowledge of security principles and best practices
  • Proficiency in disaster recovery planning and execution

Once the test is sent to a candidate, the candidate receives a link in email to take the test. For each candidate, you will receive a detailed report with skills breakdown and benchmarks to shortlist the top candidates from your pool.

What topics are covered in the Site Reliability Test?

  • System Design and Architecture

    This skill assesses the candidate's ability to design and architect complex systems, considering factors like scalability, availability, and performance. It is crucial to measure this skill in the test as it forms the foundation for building reliable and efficient software infrastructures.

  • Infrastructure as Code (IaC)

    This skill evaluates the candidate's proficiency in using tools and techniques to define and manage infrastructure through code. By measuring this skill, we can ensure that the candidate is capable of automating infrastructure provisioning and maintaining consistency in configuration, leading to increased operational efficiency and reducing manual errors.

  • Continuous Integration/Continuous Deployment (CI/CD)

    This skill measures the candidate's understanding and application of automated processes for building, testing, and deploying software. It is essential to assess this skill as it enables organizations to release software rapidly and frequently, ensuring that changes are thoroughly tested, minimizing potential issues, and achieving faster time-to-market.

  • Understanding of Networking Concepts

    This skill assesses the candidate's knowledge of networking fundamentals, including TCP/IP, DNS, routing, and network protocols. It is crucial to measure this skill to ensure the candidate can design and troubleshoot network configurations, optimize network performance, and implement secure and reliable communication between different components of the system.

  • Monitoring and Logging Systems

    This skill evaluates the candidate's ability to implement and utilize monitoring and logging systems to gain insights into application performance, detect issues, and troubleshoot problems. Measuring this skill helps in ensuring proper observability of the system, facilitating proactive monitoring, efficient debugging, and continuous improvement of the overall reliability of the infrastructure.

  • Incident Management and Post-Mortem Analysis

    This skill measures the candidate's knowledge and experience in handling incidents, coordinating response efforts, and conducting post-mortem analysis to identify root causes and prevent recurrence. Assessing this skill is essential as it demonstrates the candidate's ability to effectively manage and mitigate the impact of incidents, improve system reliability, and implement necessary corrective measures to avoid similar incidents in the future.

  • Performance Tuning and Load Balancing

    This skill evaluates the candidate's expertise in optimizing system performance and distributing workload across multiple resources to ensure scalability and high availability. Measuring this skill is crucial as it enables organizations to deliver responsive applications and handle increased traffic without compromising performance, thus ensuring a smooth user experience and minimal downtime.

  • Database Reliability and Scalability

    This skill assesses the candidate's understanding of database technologies, their reliability, and scalability aspects. Measuring this skill is important as it helps ensure that the candidate can design, monitor, and optimize database systems, enabling efficient data storage, retrieval, and high availability while maintaining data integrity and performance.

  • Understanding of Security Principles

    This skill measures the candidate's grasp of security concepts and best practices, including authentication, authorization, encryption, and vulnerability management. Assessing this skill is crucial as it allows organizations to safeguard their systems and data against unauthorized access, maintain compliance with regulatory requirements, and protect sensitive information from potential threats and attacks.

  • Disaster Recovery Planning and Execution

    This skill evaluates the candidate's ability to develop and implement plans for disaster recovery, ensuring business continuity in case of catastrophic events. Measuring this skill is important as it demonstrates the candidate's capability to minimize downtime, recover data and infrastructure, and restore services quickly, effectively reducing the impact of disruptions on the organization.

  • Microservices and Containerization

    This skill assesses the candidate's understanding and proficiency in designing and implementing microservices architectures and utilizing containerization technologies such as Docker and Kubernetes. Measuring this skill is valuable as it allows organizations to build scalable, decoupled, and manageable systems that can be deployed and operated efficiently, enabling rapid development, deployment, and scalability of services.

  • Service Level Objectives (SLOs) and Error Budgets

    This skill measures the candidate's knowledge and application of defining, tracking, and meeting service level objectives, as well as managing error budgets. Assessing this skill is essential as it helps organizations establish and maintain service reliability, make data-driven decisions about feature development and infrastructure investments, and prioritize efforts for improving system performance and availability.

  • Traffic Management and Distributed Systems

    This skill evaluates the candidate's ability to manage and distribute incoming traffic efficiently across multiple resources in distributed systems. Measuring this skill is crucial as it enables organizations to handle high traffic loads, improve system performance, and ensure fault tolerance and scalability, resulting in a better user experience and increased system reliability.

  • High Availability and Resiliency Strategies

    This skill assesses the candidate's knowledge and application of strategies and techniques for achieving high availability and ensuring system resiliency against failures. Measuring this skill is important as it enables organizations to minimize the impact of outages, maintain continuous service availability, and provide an uninterrupted user experience even in the face of unexpected circumstances or component failures.

  • Capacity Planning and Resource Optimization

    This skill measures the candidate's ability to analyze system capacity requirements, optimize resource allocation, and plan for future growth. Assessing this skill is crucial as it enables organizations to effectively manage infrastructure costs, avoid performance bottlenecks or resource shortages, and ensure optimal utilization of resources, leading to efficient and cost-effective operations.

  • Full list of covered topics

    The actual topics of the questions in the final test will depend on your job description and requirements. However, here's a list of topics you can expect the questions for Site Reliability Test to be based on.

    Site Reliability Engineering
    DevOps Methodologies
    Docker
    Kubernetes
    System Design
    Infrastructure as Code
    Continuous Integration
    Continuous Deployment
    Networking Concepts
    Monitoring Systems
    Logging Systems
    Incident Management
    Post-Mortem Analysis
    Performance Tuning
    Load Balancing
    Database Reliability
    Database Scalability
    Security Principles
    Disaster Recovery Planning
    Disaster Recovery Execution
    Microservices
    Containerization
    Service Level Objectives
    Error Budgets
    Traffic Management
    Distributed Systems
    High Availability
    Resiliency Strategies
    Capacity Planning
    Resource Optimization

What roles can I use the Site Reliability Test for?

  • Site Reliability Engineer (SRE)
  • Junior Site Reliability Engineer
  • Senior Site Reliability Engineer

How is the Site Reliability Test customized for senior candidates?

For intermediate/ experienced candidates, we customize the assessment questions to include advanced topics and increase the difficulty level of the questions. This might include adding questions on topics like

  • Understanding of microservices and containerization techniques
  • Capability in defining service level objectives (SLOs) and error budgets
  • Knowledge of traffic management and distributed systems
  • Expertise in high availability and resiliency strategies
  • Experience in capacity planning and resource optimization
  • Ability to troubleshoot and debug complex issues
  • Proficiency in scripting and automation
  • Knowledge of cloud platforms and services
  • Expertise in virtualization technologies
  • Understanding of version control systems and Git
Singapore government logo

The hiring managers felt that through the technical questions that they asked during the panel interviews, they were able to tell which candidates had better scores, and differentiated with those who did not score as well. They are highly satisfied with the quality of candidates shortlisted with the Adaface screening.


85%
reduction in screening time

Site Reliability Hiring Test FAQs

Can I combine multiple skills into one custom assessment?

Yes, absolutely. Custom assessments are set up based on your job description, and will include questions on all must-have skills you specify. Here's a quick guide on how you can request a custom test.

Do you have any anti-cheating or proctoring features in place?

We have the following anti-cheating features in place:

  • Non-googleable questions
  • IP proctoring
  • Screen proctoring
  • Web proctoring
  • Webcam proctoring
  • Plagiarism detection
  • Secure browser
  • Copy paste protection

Read more about the proctoring features.

How do I interpret test scores?

The primary thing to keep in mind is that an assessment is an elimination tool, not a selection tool. A skills assessment is optimized to help you eliminate candidates who are not technically qualified for the role, it is not optimized to help you find the best candidate for the role. So the ideal way to use an assessment is to decide a threshold score (typically 55%, we help you benchmark) and invite all candidates who score above the threshold for the next rounds of interview.

What experience level can I use this test for?

Each Adaface assessment is customized to your job description/ ideal candidate persona (our subject matter experts will pick the right questions for your assessment from our library of 10000+ questions). This assessment can be customized for any experience level.

Does every candidate get the same questions?

Yes, it makes it much easier for you to compare candidates. Options for MCQ questions and the order of questions are randomized. We have anti-cheating/ proctoring features in place. In our enterprise plan, we also have the option to create multiple versions of the same assessment with questions of similar difficulty levels.

I'm a candidate. Can I try a practice test?

No. Unfortunately, we do not support practice tests at the moment. However, you can use our sample questions for practice.

What is the cost of using this test?

You can check out our pricing plans.

Can I get a free trial?

Yes, you can sign up for free and preview this test.

I just moved to a paid plan. How can I request a custom assessment?

Here is a quick guide on how to request a custom assessment on Adaface.

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