Best Databricks Course | Databricks Training with Certification

Extract data from a single file and from a directory of files

Identify the prefix included after the FROM keyword as the data type.

Create a view, a temporary view, and a CTE as a reference to a file

Identify that tables from external sources are not Delta Lake tables.

Create a table from a JDBC connection and from an external CSV file

Identify how the count_if function and the count where x is null can be used

Identify how the count(row) skips NULL values.

Deduplicate rows from an existing Delta Lake table.

Create a new table from an existing table while removing duplicate rows.

Deduplicate a row based on specific columns.

Validate that the primary key is unique across all rows.

Validate that a field is associated with just one unique value in another field.

Validate that a value is not present in a specific field.

Cast a column to a timestamp.

Extract calendar data from a timestamp.

Extract a specific pattern from an existing string column.

Utilize the dot syntax to extract nested data fields.

Identify the benefits of using array functions.

Parse JSON strings into structs.

Identify which result will be returned based on a join query.

Identify a scenario to use the explode function versus the flatten function

Identify the PIVOT clause as a way to convert data from wide format to a long format.

Define a SQL UDF.

Identify the location of a function.

Describe the security model for sharing SQL UDFs.

Use CASE/WHEN in SQL code.

Leverage CASE/WHEN for custom control flow.

Identify where Delta Lake provides ACID transactions

Identify the benefits of ACID transactions.

Identify whether a transaction is ACID-compliant.

Compare and contrast data and metadata.

Compare and contrast managed and external tables.

Identify a scenario to use an external table.

Create a managed table.

Identify the location of a table.

Inspect the directory structure of Delta Lake files.

Identify who has written previous versions of a table.

Review a history of table transactions.

Roll back a table to a previous version.

Identify that a table can be rolled back to a previous version.

Query a specific version of a table.

Identify why Zordering is beneficial to Delta Lake tables.

Identify how vacuum commits deletes.

Identify the kind of files Optimize compacts.

Identify CTAS as a solution.

Create a generated column.

Add a table comment.

Use CREATE OR REPLACE TABLE and INSERT OVERWRITE

Compare and contrast CREATE OR REPLACE TABLE and INSERT OVERWRITE

Identify a scenario in which MERGE should be used.

Identify MERGE as a command to deduplicate data upon writing.

Describe the benefits of the MERGE command.

Identify why a COPY INTO statement is not duplicating data in the target table.

Identify a scenario in which COPY INTO should be used.

Use COPY INTO to insert data.

Identify the components necessary to create a new DLT pipeline.

Identify the purpose of the target and of the notebook libraries in creating a pipeline.

Compare and contrast triggered and continuous pipelines in terms of cost and latency

Identify which source location is utilizing Auto Loader.

Identify a scenario in which Auto Loader is beneficial.

Identify why Auto Loader has inferred all data to be STRING from a JSON source

Identify the default behavior of a constraint violation

Identify the impact of ON VIOLATION DROP ROW and ON VIOLATION FAIL UPDATEfor a

constraint violation

Explain change data capture and the behavior of APPLY CHANGES INTO

Query the events log to get metrics, perform audit loggin, examine lineage.

Troubleshoot DLT syntax: Identify which notebook in a DLT pipeline produced an error,

identify the need for LIVE in create statement, identify the need for STREAM in from clause.

Identify the benefits of using multiple tasks in Jobs.

Set up a predecessor task in Jobs.

Identify a scenario in which a predecessor task should be set up.

Review a task's execution history.

Identify CRON as a scheduling opportunity.

Debug a failed task.

Set up a retry policy in case of failure.

Create an alert in the case of a failed task.

Identify that an alert can be sent via email.

Identify one of the four areas of data governance.

Compare and contrast metastores and catalogs.

Identify Unity Catalog securables.

Define a service principal.

Identify the cluster security modes compatible with Unity Catalog.

Create a UC-enabled all-purpose cluster.

Create a DBSQL warehouse.

Identify how to query a three-layer namespace.

Implement data object access control

Identify colocating metastores with a workspace as best practice.

Identify using service principals for connections as best practice.

Identify the segregation of business units across catalog as best practice.