Databricks Certification Exams Pack
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- Exam Name: Databricks Certified Data Analyst Associate Exam
- 118 Questions Answers with Explanation Detail
- Total Questions: 118 Q&A's
- Single Choice Questions: 118 Q&A's
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Databricks-Certified-Data-Analyst-Associate - Databricks Certified Data Analyst Associate Exam
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Total Questions: 118
Free Practice Questions: 35
A BI analyst is building an analytical data model in Databricks using Delta Lake tables. The source system contains transactional sales data that changes frequently. The analyst chooses to apply the Data Vault 2.0 methodology to manage historical changes while ensuring scalability and auditability across multiple business domains.
Which component is used to capture the many-to-many relationship between hubs in a Data Vault v2 model?
Answer
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C
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Explanation
Option C is correct. In Data Vault modeling, hubs represent core business entities, satellites store descriptive and historical attributes, and links represent relationships between hubs. A many-to-many relationship between business entities is therefore captured by a Link Table. The Databricks Data Analyst Associate Exam Guide includes Data Vault schemas as part of data modeling with Databricks SQL, and Databricks’ Data Vault guidance explains that links represent relationships between hub entities. References: Databricks Data Analyst Associate Exam Guide and Databricks Data Vault guidance. |
A data engineer wants to create a relational object by pulling data from two tables. The relational object does not need to be used by other data engineers in other sessions. In order to save on storage costs, the data engineer wants to avoid copying and storing physical data.
Which of the following relational objects should the data engineer create?
Answer
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D
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Explanation
Option D is correct. A temporary view is session-scoped and does not store physical data. It is suitable when the relational object is only needed in the current session or query context and should not be available to others in other sessions. A regular view also avoids copying physical data, but it is persistent and can be shared beyond the current session. Official Databricks extract: a view is a “virtual table that has no physical data,” and temporary views are scoped to the notebook/script or query level and cannot be referenced outside that scope. |
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which command could the data engineering team use to access sales in PySpark?
Answer
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B
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Explanation
Option B is correct because spark.table( " sales " ) returns the named table as a Spark DataFrame, which the data engineering team can then test using PySpark. SELECT * FROM sales is SQL text, not a PySpark command by itself. spark.sql( " sales " ) is invalid because spark.sql expects a SQL statement, not just a table name. spark.delta.table is not the standard PySpark API for loading a table. Official Databricks extract: DataFrameReader.table “returns the specified table as a DataFrame,” and Databricks also lists spark.table as a Spark operation that returns a DataFrame. |
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