Genesys Interview Questions, Process, and Tips for Experienced

Q1. Questions from the resume
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Q2. Working of the mobilenet architecture
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MobileNet is a lightweight deep learning architecture designed for mobile and embedded vision applications.
• MobileNet uses depthwise separable convolutions to reduce the number of parameters and computations.

• It has a small memory footprint and can be easily deployed on mobile devices.

• MobileNet has several variants, including MobileNetV1, MobileNetV2, and MobileNetV3.

• MobileNetV2 introduced linear bottlenecks and inverted...read more
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Q3. What is so special in mobilenet
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MobileNet is a lightweight deep learning model designed for mobile and embedded devices.
• MobileNet uses depthwise separable convolutions to reduce the number of parameters and computations.

• It has a small memory footprint and can be easily deployed on mobile and embedded devices.

• MobileNet has been used for various applications such as image classification, object detection, and semantic segmentation.

• It has achieved state...read more
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Q4. Why does it consume less computing power in comparision to other DL architectures
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DL architectures like CNNs require more computing power due to their complex structure and operations.
• The architecture of Ai Ml is simpler compared to other DL architectures like CNNs.

• It uses a single layer of neurons which reduces the number of computations required.

• It also uses a linear activation function which is computationally less expensive.

• Ai Ml is suitable for simpler tasks like linear regression and classific...read more
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Q5. Mobilenet architecture vs other DL architecture differences
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Mobilenet is a lightweight DL architecture designed for mobile devices.
• Mobilenet uses depthwise separable convolutions to reduce computation and model size.

• It has fewer parameters and lower computational requirements compared to other DL architectures like VGG and ResNet.

• Mobilenet is optimized for mobile devices and can run in real-time on smartphones and other embedded devices.

• Other DL architectures like VGG and ResNe...read more
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Implement self-attention from scratch

Basic enquiry about the candidates.

Q1. Create shapefile in QGIS
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To create a shapefile in QGIS, follow these steps:
• Open QGIS and add a new layer

• Select the layer type as 'New Shapefile'

• Choose the geometry type and coordinate reference system

• Add attribute fields and save the shapefile
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Q2. Create Geodatabase file.
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To create a geodatabase file, follow these steps:
• Open ArcCatalog or ArcMap

• Create a new folder for the geodatabase

• Right-click the folder and select New > File Geodatabase

• Name the geodatabase and click OK

• The geodatabase is now ready to use
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Q3. Create topology of the given data.
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Creating topology involves defining the spatial relationships between features in a GIS dataset.
• Identify the features and their spatial relationships

• Determine the rules for the topology

• Use GIS software to create the topology

• Validate and correct errors in the topology

• Examples: connecting adjacent polygons, ensuring lines do not overlap
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Q1. What is current salary?
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Q2. How much do you expect from genesys?
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Q3. Will you be able to work in shifts?
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Q4. Can you do overtime as well?
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Q5. What is your current company notice period?
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Q6. Can you join the company on immediate basis?
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