Amazon, as one of the world’s top technology companies, is known for its high standards, fast-paced interviews, and comprehensive assessments. Securing an offer at Amazon requires more than just strong coding skills—candidates must also be able to clearly and confidently articulate their problem-solving approach to the interviewer. However, many candidates struggle under pressure, leading to confusion, incomplete answers, or miscommunication that negatively affects their performance.

Today, we’re sharing the real interview experience of a candidate who applied for a position at Amazon. While he had solid programming skills, he often found it difficult to explain his thought process when tackling object-oriented design and algorithmic problems, leading to multiple previous interview failures. This time, he chose CSOAHELP Remote Interview Assistance, hoping to enhance his responses with real-time text prompts and code suggestions to present his best self to the interviewer.

Throughout the interview, the CSOAHELP team provided complete text assistance before each answer, ensuring that the candidate could either repeat the response verbatim or copy the code when necessary, ultimately helping him pass the interview successfully.

The interviewer began with an object-oriented design problem:

Design a set of classes that will report the current battery/power status to the user.
Depending on the hardware, the response may need to be spoken, or displayed on a screen, or both.
Also, depending on whether there is a battery or not, the status message will differ.

The interviewer then elaborated on Amazon’s various device categories, including:

• Devices with only speakers (e.g., Echo, Echo Dot)
• Devices with only a screen (e.g., Amazon Microwave)
• Devices with both a speaker and a screen (e.g., Echo Show, Echo Spot)
• Devices with neither a speaker nor a screen (e.g., Echo Input)
• Devices with a battery (e.g., Amazon Fire Tablet, Echo Tap, Bose Headset)
• Devices that rely entirely on external power (e.g., Echo Dot, Fire TV Stick)

The candidate was required to design a class structure that could correctly report power and battery status for all these different types of devices.

The candidate lacked extensive experience in object-oriented design. Especially in high-pressure interviews at companies like Amazon, candidates must quickly formulate a clear class structure and fluently explain their design approach. This had been a major challenge for him in previous interviews, leading to multiple failures.

CSOAHELP had already prepared a complete solution for this question. During the interview, the remote assistance team provided a fully structured response on the candidate’s second screen, allowing him to simply repeat or transcribe the answer, ensuring clarity, coherence, and professionalism.

Complete Answer:

This problem is well-suited for an object-oriented approach. I would start by creating an AlexaDevice abstract base class that all Amazon devices inherit from. Then, I would define three interfaces:

1. SpeakerDevice for devices with a speaker, providing a speak() method.
2. DisplayDevice for devices with a screen, providing a display() method.
3. BatteryPoweredDevice for battery-powered devices, providing a get_battery_status() method.

Next, we can create specific device classes, such as EchoDot, AmazonMicrowave, and EchoShow, implementing the necessary interfaces. For example:

• EchoDot has only a speaker, inherits from SpeakerDevice, and its report_power_status() method calls speak() to announce power status.
• AmazonMicrowave has only a screen, inherits from DisplayDevice, and its report_power_status() method calls display() to show power status.
• EchoShow has both a speaker and a screen, so it inherits from both SpeakerDevice and DisplayDevice. Its report_power_status() method calls both speak() and display().
• EchoTap is a battery-powered device that inherits from both SpeakerDevice and BatteryPoweredDevice, allowing it to report battery status.

Complete Code:

from abc import ABC, abstractmethod

class AlexaDevice(ABC):
    def __init__(self, name):
        self.name = name

    @abstractmethod
    def report_power_status(self):
        pass

class SpeakerDevice(ABC):
    def speak(self, message):
        print(f"Speaker: {message}")

class DisplayDevice(ABC):
    def display(self, message):
        print(f"Display: {message}")

class BatteryPoweredDevice:
    def __init__(self):
        self.battery_level = 100
        self.is_charging = False

    def set_battery_level(self, level):
        self.battery_level = max(0, min(100, level))

    def get_battery_status(self):
        charging_status = "charging" if self.is_charging else "not charging"
        return f"Current battery level is {self.battery_level}% and {charging_status}"

class EchoDot(AlexaDevice, SpeakerDevice):
    def __init__(self):
        AlexaDevice.__init__(self, "Echo Dot")

    def report_power_status(self):
        self.speak("Currently plugged into wall power")

class AmazonMicrowave(AlexaDevice, DisplayDevice):
    def __init__(self):
        AlexaDevice.__init__(self, "Amazon Microwave")

    def report_power_status(self):
        self.display("Currently plugged into wall power")

class EchoShow(AlexaDevice, SpeakerDevice, DisplayDevice):
    def __init__(self):
        AlexaDevice.__init__(self, "Echo Show")

    def report_power_status(self):
        message = "Currently plugged into wall power"
        self.speak(message)
        self.display(message)

class EchoTap(AlexaDevice, SpeakerDevice, BatteryPoweredDevice):
    def __init__(self):
        AlexaDevice.__init__(self, "Echo Tap")
        BatteryPoweredDevice.__init__(self)

    def report_power_status(self):
        message = self.get_battery_status()
        self.speak(message)

With the fully structured response displayed on his second screen, the candidate could repeat the answer fluently to the interviewer, ensuring clear and confident communication. For the coding portion, he could directly copy the solution, avoiding syntax errors or logical mistakes caused by nervousness. If the interviewer followed up with additional questions, CSOAHELP was prepared to provide supplementary responses in real-time, ensuring the candidate was never caught off guard.

CSOAHELP remote interview assistance enabled the candidate to deliver a flawless performance, eliminating the risks associated with nervousness or limited articulation skills. More than just technical support, CSOAHELP ensured that the candidate maintained peak performance throughout the interview. Ultimately, he successfully passed Amazon’s technical interview and advanced to the next round.

If you want to maximize your chances of succeeding in tech interviews at top companies, CSOAHELP Remote Interview Assistance is your best choice.

经过csoahelp的面试辅助，候选人获取了良好的面试表现。如果您需要面试辅助或面试代面服务，帮助您进入梦想中的大厂，请随时联系我。

If you need more interview support or interview proxy practice, feel free to contact us. We offer comprehensive interview support services to help you successfully land a job at your dream company.