{
  "context": "This evaluation assesses how well the engineer uses the azure-storage-file-datalake package to execute SQL-like queries on data files with different input formats and output formats. The focus is on correct usage of the DataLakeFileClient.query() method and proper configuration of query dialects.",
  "type": "weighted_checklist",
  "checklist": [
    {
      "name": "Uses query method",
      "description": "Uses the DataLakeFileClient.query() method to execute SQL queries on the data file",
      "max_score": 25
    },
    {
      "name": "Configures DelimitedTextDialect",
      "description": "Uses DelimitedTextDialect (or DelimitedJsonDialect) class to configure input format settings including delimiter, header row presence, and other CSV-specific options",
      "max_score": 20
    },
    {
      "name": "Sets output format",
      "description": "Specifies the output_format parameter in the query() method call to control the result format (e.g., 'delimitedtext' or 'delimitedJson')",
      "max_score": 15
    },
    {
      "name": "Handles input formats",
      "description": "Correctly handles both CSV and JSON input formats by configuring appropriate dialect settings based on the input_format parameter",
      "max_score": 15
    },
    {
      "name": "Processes query results",
      "description": "Properly iterates through the query result reader and extracts records, converting them to the expected output format (dictionaries)",
      "max_score": 15
    },
    {
      "name": "Handles query errors",
      "description": "Implements error handling for query operations, catching and handling exceptions that may occur during query execution",
      "max_score": 10
    }
  ]
}