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Showing 19 results · Page 2 for “databricks”.
DBX-MLA · Machine-learning engineering
Data leakage occurs when training or model selection uses information that would not be available at prediction time. Split data in a way that respects time and related entities, and fit lea…
DBX-MLA · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
DBX-MLP · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DBX-MLP · Generative AI systems
A generative model produces output based on its learned patterns and the context it receives. Retrieval can supply relevant documents, but the model may still misunderstand or invent details…
DBX-MLP · Machine-learning engineering
Data leakage occurs when training or model selection uses information that would not be available at prediction time. Split data in a way that respects time and related entities, and fit lea…
DBX-MLP · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
DBX-SPARK · Data pipeline design
A data pipeline needs defined inputs, transformations, outputs and checkpoints. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Tr…
DBX-SPARK · Data quality
A value can have the right data type and still be wrong for the business. Data quality checks should cover required values, uniqueness, valid ranges and relationships, along with freshness a…
DBX-SPARK · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DP-750 · Data pipeline design
A data pipeline needs defined inputs, transformations, outputs and checkpoints. Failures can leave partial results, so decide how processing resumes without losing or duplicating records. Tr…
DP-750 · Databricks lakehouse concepts
A lakehouse workflow can separate raw ingestion from validated and business-ready datasets. Each layer should have a clear contract rather than merely a different folder name. Preserve enoug…
DP-750 · Machine-learning engineering
Data leakage occurs when training or model selection uses information that would not be available at prediction time. Split data in a way that respects time and related entities, and fit lea…
DP-750 · Responsible AI evaluation
Aggregate accuracy can hide poor performance for particular users or situations. Evaluate representative subgroups and realistic failure cases, and consider privacy, misuse and human oversig…
DP-900 · Describe core data concepts
… downstream use, working with tools like Data Factory, Databricks and Synapse. The data analyst explores data, builds models and visualisations in tools like Power BI, and turns findings int…
DP-900 · Describe considerations for working with non-relational data on Azure
…nt use by analytics engines such as Spark, Synapse and Databricks that expect file-system semantics. It is the foundation of modern lakehouse designs and Microsoft Fabric's OneLake. You stil…
DP-900 · Describe an analytics workload on Azure
…he target using its own power, as BigQuery, Synapse or Databricks can. ELT suits large volumes and schema-on-read exploration; ETL suits cases where only curated data may enter the target fo…
DP-900 · Describe an analytics workload on Azure
…d Apache Spark pools, all inside Synapse Studio. Azure Databricks is a premium Apache Spark platform with collaborative notebooks, favoured for data engineering and machine learning at scale…
DP-900 · Describe an analytics workload on Azure
…smos DB, SQL or storage. Spark Structured Streaming in Databricks or Synapse is the code-first alternative. Typical use cases are fraud detection, live dashboards and IoT alerts. Hook: Event…
DP-900 · Describe an analytics workload on Azure
…f data serves both BI and data science. Azure Synapse, Databricks and Microsoft Fabric all implement lakehouse patterns. Hook: warehouse is tidy, lake is raw, lakehouse is tidy on top of raw…
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