Find Interview Questions for Thryve Digital

Right Answer:

Kubernetes is an open-source container orchestration platform that automates the deployment, scaling, and management of containerized applications. It solves problems related to application deployment consistency, scaling applications based on demand, managing container lifecycles, and ensuring high availability and fault tolerance of applications.

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Horizontal pod autoscaling adjusts the number of pod replicas based on CPU utilization or other select metrics, while vertical pod autoscaling adjusts the resource requests and limits (CPU and memory) of existing pods based on their usage.

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A DaemonSet is a Kubernetes resource that ensures a copy of a specific pod runs on all (or a subset of) nodes in a cluster. You would use it when you need to run a background service or process on every node, such as logging agents, monitoring tools, or network proxies.

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The main components of the Kubernetes architecture are:

1. **Master Node**: Manages the Kubernetes cluster and includes components like the API server, etcd, controller manager, and scheduler.
2. **Worker Nodes**: Run the applications and contain components like the kubelet, kube-proxy, and container runtime.
3. **etcd**: A distributed key-value store for storing cluster data.
4. **API Server**: The front-end for the Kubernetes control plane, handling requests and communication.
5. **Controller Manager**: Manages controllers that regulate the state of the cluster.
6. **Scheduler**: Assigns workloads to worker nodes based on resource availability.
7. **Kubelet**: An agent that runs on each worker node, ensuring containers are running in pods.
8. **Kube-proxy**: Manages network routing for services in the cluster.

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You can perform scaling in Kubernetes using the `kubectl scale` command to adjust the number of replicas in a deployment, or by configuring the Horizontal Pod Autoscaler (HPA) to automatically scale the number of pods based on resource usage metrics.

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Rate limiting is a technique used to control the number of requests a client can make to a server within a specified time period. To apply it to REST APIs, you can implement mechanisms such as token buckets, leaky buckets, or fixed windows to track and restrict the number of API calls from a user or IP address, returning an error response when the limit is exceeded.

Right Answer:
The main principles of REST architecture are:

1. **Statelessness**: Each request from a client must contain all the information needed to understand and process the request.
2. **Client-Server Separation**: The client and server are separate entities that interact through requests and responses, allowing for independent development.
3. **Cacheability**: Responses must define themselves as cacheable or non-cacheable to improve performance.
4. **Uniform Interface**: A consistent way to interact with resources, typically using standard HTTP methods (GET, POST, PUT, DELETE).
5. **Layered System**: The architecture can be composed of multiple layers, with each layer having its own responsibilities and not being aware of the other layers.
6. **Code on Demand (optional)**: Servers can extend client functionality by transferring executable code (e.g., JavaScript).

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Headers in RESTful API communication provide essential metadata about the request or response. They can include information such as content type, authentication tokens, caching directives, and status codes, which help clients and servers understand how to process the data being exchanged.

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GET retrieves data from a server.
POST sends data to a server to create a new resource.
PUT updates an existing resource with new data.
PATCH partially updates an existing resource.
DELETE removes a resource from the server.

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A RESTful API is an application programming interface that follows the principles of Representational State Transfer (REST). It uses standard HTTP methods (GET, POST, PUT, DELETE) to perform operations on resources, which are identified by URLs. Clients interact with the API by sending requests to these URLs, and the server responds with data, typically in JSON or XML format, allowing for stateless communication and easy scalability.

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To schedule data refresh in Power BI Service, go to the dataset settings, select the dataset you want to refresh, click on "Scheduled refresh," toggle it to "On," and then set the frequency and time for the refresh. Finally, save the settings.

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Power BI is a business analytics tool by Microsoft that allows users to visualize data and share insights across their organization. Its main components are:

1. **Power BI Desktop** - A desktop application for creating reports and data visualizations.
2. **Power BI Service** - An online service for sharing and collaborating on reports and dashboards.
3. **Power BI Mobile** - Mobile applications for accessing reports and dashboards on smartphones and tablets.
4. **Power BI Gateway** - A bridge that facilitates secure data transfer between on-premises data sources and Power BI services.
5. **Power BI Report Server** - An on-premises server for hosting Power BI reports and traditional paginated reports.

Right Answer:
In Power BI, relationships between tables allow you to connect data from different tables based on common fields (keys). These relationships can be one-to-one, one-to-many, or many-to-many. They enable you to create a unified data model, allowing you to build reports and visualizations that pull data from multiple tables seamlessly. You can manage relationships in the "Model" view, where you can create, edit, or delete them as needed.

Right Answer:
Power BI integrates with Excel by allowing users to import Excel data directly into Power BI, use Excel Power Query for data transformation, and create Power BI reports from Excel data models. Additionally, Power BI can publish Excel workbooks to the Power BI service, enabling collaboration and sharing. It also integrates with other Microsoft tools like SharePoint and Teams, allowing users to embed Power BI reports and dashboards for easy access and collaboration within those platforms.

Right Answer:
Slicers in Power BI are visual filters that allow users to segment and filter data on reports easily. They enhance interactivity by enabling users to select specific values or ranges, which dynamically updates the visuals on the report page to reflect the selected data, making it easier to analyze and explore insights.