Mohamed Ismail

DevOps pros ensure continuous delivery of valuable products by integrating people, processes, and tech. They optimize practices, improve communication, and automate to enhance delivery efficiency. Strategies for continuous integration, testing, delivery, monitoring, and feedback are key.

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This certification demonstrates expertise in the advanced design and implementation of Azure solutions encompassing aspects such as compute, networking, storage and security. It verifies your ability to develop solutions that meet business requirements and are optimized for scalability, reliability, and availability.

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This exam measures your ability to accomplish the following technical tasks: design a Zero Trust strategy and architecture; evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies; design security for infrastructure; and design a strategy for data and applications.

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Candidates for Azure Data Scientist Associate should excel in data science and ML, managing workloads, experiments, and models on Azure. Proficiency in Azure Machine Learning and Databricks is required.

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Azure Data Engineer Associates excel in integrating, transforming, and consolidating structured and unstructured data for analytical solutions. They build secure data processing pipelines, ensuring efficiency, organization, and reliability. Proficient in SQL, Python, or Scala, they understand parallel processing and data architecture patterns.

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The DP-600 proves the candidate's subject matter expertise in designing, creating and implementing enterprise-scale data analytics solutions. The exam tests the ability to transform data into reusable analysis tools using Microsoft Fabric components, such as: Lakehouses, Data warehouses, Notebooks, Data flows, Data pipelines, Semantic models and Reports in PowerBI. One implements best practices for analysis in Fabric, including version control and deployment.

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The DP-700 certification confirms the candidate's expertise in designing and deploying data engineering solutions in Microsoft Fabric. It demonstrates skills in data ingestion, transformation, orchestration, and securing analytics environments. The candidate is proficient in SQL, PySpark, and Kusto Query Language (KQL), and collaborates with analytics professionals to build optimized and reliable analytics solutions.

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Candidates for Azure AI (Artificial intelligence) Engineer Associate certifications can build, maintain and deploy solutions that use Azure Cognite Services and Azure Applied AI services. Their responsibilities include participating in all phases during the development of an AI solution, from defining and designing a scope, to developing, deploying, maintaining, optimizing and monitoring.

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This exam measures the ability to perform the following technical tasks: plan and implement data platform resources; implement a secure environment; monitor and optimize operational resources; optimize search performance perform automation of tasks; planning and implementing a High Availability and Disaster Recovery (HADR) environment; and perform administration using T-SQL.

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Candidates for this certification must have solid knowledge and experience developing apps for Azure and working with Azure Cosmos DB database technologies. They should be proficient in developing applications using the Core (SQL) API and SDKs, writing efficient queries and creating appropriate index policies, provisioning and managing resources in Azure, and creating server-side objects with JavaScript. They should be able to interpret JSON, read C# or Java code and use PowerShell.

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The certification provides knowledge on identifying business requirements, cleaning and transforming data, and designing and building data models using Power BI. It provides experience in delivering business value through easy-to-understand data visualizations, as well as skills in Power Query and DAX.

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This certification exam assesses abilities to use Databricks' Lakehouse platform to perform advanced data engineering tasks.This includes an understanding of the Databricks platform and developer tools such as Apache Spark, Delta Lake, MLflow, as well as Databricks' CLI and REST API. Also, the ability to build optimized and clean ETL pipelines is recognized. In addition, the ability to model data in a "lakehouse" using knowledge of general data modeling concepts has been assessed.

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This is a confirmation of the candidate's abilities to perform machine learning tasks, including SparkML and Databricks' machine learning services with AutoML, Feature Store and MLflow. Furthermore, the relevant person's understanding of scaling and production setting of ML services is recognised.

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This certification confirms the candidate's ability to build and deploy LLM-powered applications on Databricks using tools like Vector Search, Model Serving, MLflow, and Unity Catalog. It demonstrates practical skills in designing performant RAG solutions and managing the full generative AI workflow on the platform.

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The SnowPro™ Core certification demonstrates an individual's knowledge of applying specific core expertise for implementation and migration to Snowflake. A SnowPro™ Core certified individual has a thorough understanding of Snowflake as a cloud repository for data, and has the knowledge necessary to design, develop, and manage secure, scalable Snowflake solutions to drive business goals.

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Recipients of the PCAP - Certified Associate in Python Programming demonstrate the ability to code according to fundamental concepts and techniques in object-oriented programming. Being certified in PCAP means that you are familiar with all the primary features and tools that Python 3 provides.

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Terraform Associate Certification is an official certification from HashiCorp that shows the holder has a basic understanding and skills in using Terraform, a tool for infrastructure as code. The certification covers basic concepts, Terraform configuration, and how to effectively manage infrastructure with Terraform.

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Candidates who pass the Professional Scrum Master 1 (PSM1) certification have demonstrated a fundamental understanding of Scrum that includes how to use scrum, as well as having an understanding of Scrum as explained in the Scrum Guide. In addition, the candidate has demonstrated a consistent use of Scrum terminology and methodology.

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A certification in Professional Scrum Developer confirms expertise in Scrum-based software development. An understanding of how to develop useful and valuable progress during any sprint by applying modern programming techniques and tools, including, among others test-driven development (TDD) and continuous integration (CI).

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PRINCE2 stands as a globally recognized project management methodology and certification, offering a comprehensive guide to managing projects throughout their lifecycle. While its roots lie in IT project planning, PRINCE2 has evolved into a versatile approach that applies to projects of any scale, industry, organizational structure, geographic location, and cultural context.

The ITIL 4 Foundation presents a comprehensive end-to-end operations framework designed to create, deliver and consistently improve technology-enabled products and services.