Apache Spark
Category : Apache Spark | Sub Category : Apache Spark Topics | By Prasad Bonam Last updated: 2023-10-01 14:28:16 Viewed : 304
- What is Apache Spark
- About Apache Spark
- Apache Spark Features
- Spark - Apache Spark Architecture
- What is RDD in apache Spark
- Convert an RDD (Resilient Distributed Dataset) to a
DataFrame in Apache Spark
- SparkContext, SparkConf, and SparkSession
differences
- Spark- Create an empty RDD
- Spark-Apache Spark RDD (Resilient Distributed
Dataset) examples in Scala
- What are the key data structures in Apache Spark
- When to use RDDs, Datasets, and DataFrames
- Spark -Different ways to create RDD in Scala
- Spark - Examples of RDD Actions in Apache Spark
- Spark - Examples of RDD Actions in Apache Spark
- Spark - Pair RDD Functions in scala
- Spark - RDD Actions in scala
- Spark - RDD Transformations in scala
- PairRDDFunctions in Apache Spark
- What is Data Frame in Apache Spark
- Spark -Some DataFrame examples using Scala in Apache
Spark
- Spark - Datasets in Apache Spark
- Apace Kafka Partitions with three brokers example
- Create accumulators and broadcast variables on the
cluster programmatically in Apache Spark
- Spark - an ETL example in Apache Spark using Scala
with sample code
- Spark - Apache Spark Architecture
- Spark - Configuring resources in Apache Spark
- Spark - Read data from Hbase using Spark and Scala
- Spark - Resource allocation in Apache Spark
- Spark - What is the default number of partitions for
an RDD or DataFrame In Apache Spark
- Spark -Driver memory allocation in Apache Spark
- Spark -How to work with partitions in Apache Spark
RDDs and DataFrames
- Spark -Read files in various formats using the
appropriate Spark API
- Spark – SQL Schema in scala
- Spark –read ,write and delete files in scala
- Spark Resilient Distributed Datasets (RDDs)
- Spark SQL - DataFrame Examples in Scala
- Spark SQL - DataSet Examples in Scala
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- You are building an Azure Stream Analytics pipeline. You need to configure the pipeline to analyze events that occur during a five-minute window after an event fires. Which windowing function should you use?
- You create an Azure Stream Analytics job. You run the job for five hours. You need to ensure that these events are not dropped. What should you do?
- You design an Azure Data Factory data flow activity to move large amounts of data from text files to an Azure Synapse Analytics database. You add a data flow script to your data flow. The data flow in the designer has the following tasks: distinctRows1: Aggregate data by using myCols that produce columns. source1: Import data from DelimitedText1. derivedColumn1: Create and update the C1 columns. select1: Rename derivedColumn1 as select1 with columns C1. sink1: Add a sink dataset. You need to ensure that all the rows in source1 are deduplicated. What should you do?
- You have 500 IoT devices and an Azure subscription. You plan to build a data pipeline that will process real-time data from the devices. You need to ensure that the devices can send messages to the subscription. What should you deploy?
- You have a Delta Lake solution that contains a table named table1. You need to roll back the contents of table1 to 24 hours ago. Which command should you run?
- You have an Azure Data Factory pipeline named Pipeline1. Which two types of triggers can you use to start Pipeline1 directly? Each correct answer presents a complete solution.
- You have an Azure Data Factory pipeline named Pipeline1. You need to send an email message if Pipeline1 fails. What should you do?
- You have an Azure Stream Analytics solution that receives data from multiple thermostats in a building. You need to write a query that returns the average temperature per device every five minutes for readings within that same five minute period. Which two windowing functions could you use?
- You have an Azure subscription that contains a Delta Lake solution. The solution contains a table named employees. You need to view the contents of the employees table from 24 hours ago. You must minimize the time it takes to retrieve the data. What should you do?
- You have an Azure subscription that contains the following resources
- You need to ensure that all changes to DB1 are stored in DW1. The solution must meet the following requirements:
- You need to ensure that all changes to DB1 are stored in DW1.The solution must capture the new value and the existing value and store each value as a new record.
- You need to ensure that all changes to DB1 are stored in DW1.The solution must capture the new value and the existing value and store each value as a new record.
- You plan to configure an Azure Stream Analytics job named Job1.
- You plan to use an Azure Synapse pipeline to copy CSV files from the branch office, perform complex transformations on their content, and then load them to DB1.