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Implementing Data Engineering Solutions Using Azure Databricks
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You have an Azure Databricks workspace that is enabled for Unity CatalogYou have an Apache Spark Structured Streaming job that writes data to a Delta table.After the cluster restarts, the streaming job reprocesses previously ingested dataYou need to prevent the streaming job from reprocessing the data after the cluster restarts.What should you do?
You have an Azure Databricks workspace that is enabled for Unity Catalog and containstwo managed Delta tables named sales.schema1.table1 and sales.schema1.table2.sales.schema1.table1 contains sales data from the current year.sales.schema1.table2 contains historical data.You need to load all the rows from sales.schema1.table1 into sales.schema1.table2. Thesolution must preserve any existing data in sales.schema1.table2 and minimize processingeffort.Which command should you run?
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains aDelta table named Orders.You load the Orders table into an Apache Spark DataFrame named df.You need to create a DataFrame that excludes rows where the order amount is null.Solution: You run the following expression.df.filter(df.order_amount != None)Does this meet the goal?
You have an Azure Databricks workspace that contains multiple all-purpose clusters. Youdiscover that some clusters remain idle for long periods after users finish their work. Youneed to reduce compute costs without affecting active workloads. What should you do?
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains aDelta table named OrdersYou load the Orders table into an Apache Spark DataFrame named df.You need to create a DataFrame that excludes rows where the order amount is null.Solution: You run the following expression.df-fillna(0, subset=['order_amount'])Does this meet the goal?
You have an Azure Databricks workspace named Workspace1. You create a computecluster named Cluser1 that will be used to ingest data.You need to install the required libraries on Cluster 1. The solution must use Unity Catalogfor access control. What should you do?
You have an Azure Databricks workspace that is attached to a Unity Catalog metastorenamed metastore1. Metastore1 contains a catalog named catalog 1.You need to create a new schema named schema2 that meets the following requirements:• Is contained in catalog1• Uses abfss://containergstorageaccount.dfs.core.windows.net/data as the ManagedlocationWhich SQL statement should you execute?
You have an Azure Databricks workspace named Workspace1 that contains a lakehouseand is enabled for Unity Catalog.You have a connection to a Microsoft SQL Server database named DB1.You need to expose the schemas and tables of DB1 to meet the following requirements:• The schemas and tables can be queried in Databricks.• The schemas and tables appear alongside other Unity Catalog objects.• The data is NOT copied into Databricks-managed storage.Solution: You create a foreign catalog in Catalog Explorer.Does this meet the goal?
You have an Azure Databricks workspace that contains an all-purpose cluster namedCluster! You need to configure Cluster1 to meet the following requirements;• The cluster must scale up automatically when workloads increase.• The cluster must scale down automatically when workloads decrease.The solution must minimize costs.Which two actions should you perform? Each correct answer presents part of the solution.NOTE: Each correct selection is worth one point.
You have an Azure Databricks workspace that is enabled for Unity Catalog and contains aDelta table named Orders.You load the Orders table into an Apache Spark DataFrame named df.You need to create a DataFrame that excludes rows where the order amount is null.Solution: You run the following expression.df.filter(df.order_amount.isNotNull())Does this meet the goal?