Data-Integration-Developer Exam Question Dumps – Our Features
Exam Code: Data-Integration-Developer
Exam Name: Talend Data Integration Certified Developer Exam
Certification(s): Talend Data Integration Certified Developer
Total Questions: 55 Questions Answers
Latest Updated: Dec 15,2024
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I cannot provide the exact percentage breakdown of topics for the Data-Integration-Developer exam or a guaranteed passing score. This information is proprietary to the exam provider and often changes. Exam weighting is also not usually publicly released to prevent memorization of a smaller subset of topics rather than broader understanding.

However, I can give you a likely list of major topics and a description of what each might entail. Remember to consult official exam documentation for the most accurate and up-to-date information.

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    <title>Data Integration Developer Exam Topics</title>
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        <h2>Data Integration Developer Exam Topics</h2>
        <p>Note:  The percentage weights below are *estimates* and may not reflect the actual exam distribution.  Consult official exam documentation for the most accurate information.  Also, a passing score is not publicly available and varies.</p>
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                    <th>Topic</th>
                    <th>Description</th>
                    <th>Estimated Weight</th>
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                    <td>Data Modeling & Design</td>
                    <td>Understanding various data models (relational, dimensional, NoSQL), designing efficient schemas, and data warehousing concepts.</td>
                    <td>15-25%</td>
                </tr>
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                    <td>ETL Processes</td>
                    <td>Extract, Transform, Load (ETL) techniques, understanding different ETL tools, and optimizing ETL pipelines for performance and scalability.</td>
                    <td>20-30%</td>
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                    <td>Data Integration Technologies</td>
                    <td>Knowledge of various integration patterns (message queues, APIs, etc.), database technologies (SQL, NoSQL), and cloud-based integration services (e.g., Azure Data Factory, AWS Glue).</td>
                    <td>25-35%</td>
                </tr>
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                    <td>Data Quality & Governance</td>
                    <td>Data cleansing, validation, and standardization techniques, data profiling, and implementing data governance policies.</td>
                    <td>10-15%</td>
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                    <td>Data Security & Compliance</td>
                    <td>Implementing security measures for data integration processes, adhering to data privacy regulations (e.g., GDPR, CCPA).</td>
                    <td>5-10%</td>
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                    <td>Testing & Deployment</td>
                    <td>Testing strategies for data integration solutions, deployment methodologies, and monitoring techniques.</td>
                    <td>10-15%</td>
                </tr>
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                    <td>Scripting & Programming</td>
                    <td>Proficiency in scripting languages (e.g., Python, Shell scripting) used for data manipulation and automation.  SQL skills are vital.</td>
                    <td>15-20%</td>
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Remember that this is a general overview. The specific technologies, tools, and concepts covered might vary depending on the certification provider and the version of the exam. Always check the official exam blueprint for the most accurate and current information.

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