An Associate Data Lakehouse Engineer is responsible for assisting in the design, implementation, operation, and optimization of data lakehouse architectures using IBM watsonx.data. This role requires a foundational understanding of data lakehouses, data integration, and data consumption. This includes adding data sources and engines to a data lakehouse, managing data access, and ingesting, exploring, and querying data.
Concepts in this Associate level exam include:
- Data Lakehouse Fundamentals
- watsonx.data Fundamentals
- Data Integration
- Operation
- Consumption
- SQL
- Database administration
- Data engineering
During exam development, the Subject Matter Experts (SMEs) define all of the tasks, knowledge and experience that an individual would need in order to successfully fulfill their role with the product or solution. These are represented by the objectives below and the questions on the exam are based upon these objectives.
-
Section 1: Data Lakehouse Fundamentals26%
- Describe the basic concepts of a data lakehouse
- Understand the benefits of a data lakehouse
- Articulate the data lakehouse architecture
- Describe data tiering
- Understand data transformation and ingestion
- Explain Cloud Object Storage
-
Section 2: watsonx.data Fundamentals23%
- Identify and explain the components of watsonx.data
- Understand watsonx.data deployment options
- Understand the benefits of a multi-engine approach
- Implement Data Governance practices
-
Section 3: Data Integration16%
- Describe how to integrate applications with the data lakehouse
- Integrate data from disparate sources
- Ingest data
-
Section 4: Operation19%
- Describe the Infrastructure Manager and understand how to use it
- Describe the Data manager view and understand how to use it
- Describe Query workspace and history views
- Set up Access Control
- Describe the capabilities of the CLI
-
Section 5: Consumption16%
- Understand use cases for watsonx.data
- Guide a developer on how to query in watsonx.data
- Understand the difference between predictive and exploratory analytics in watsonx.data
- Articulate the APIs that are available to access the watsonx.data system
- Generate and troubleshoot SQL
- Articulate how data federation can be used with watsonx.data
Reviews
There are no reviews yet.