Mobile:
+91-8879712614 Phone:022-42669636 | Email : hadoopexam@gmail.com
admin@hadoopexam.com
All Products Spark IBM MapR Hortonworks Cloudera NiFi
Amazon AWS SAS
HBase Cassandra
Salesforce Oracle Cloud & Java Android To Activate
Free
Resources
Forum
Subscribe
Annual
Subscription (50%+49% off) Author/Trainer
For Business
Blog 
25000+ Learners upgraded/switched career Testimonials
All
Certifications
preparation material is for renowned vendors like
Cloudera, MapR, EMC, Databricks,SAS, Datastax, Oracle,
NetApp etc , which has more value, reliability and
consideration in industry other than any training
institutional certifications.
Note
:
You can choose more than one product to have custome
package created from below and send email to
hadoopexam@gmail.com to get discount.Premium
Trainings Courses : HadoopExam focuses
on in depth learning with the hands-on session setting up the
environment than executing solution and doing hands on
that. Below are the available trainings and we are keep adding
new trainings. These trainings is being used and subscribed by
Devloper, Tester, Administrator, Enterprise(to train their team)
and Trainer globally. These trainings are well organized and
step by step solutions to learning, and in lesser time as per
your convenience you can complete these and even re-visit as
required.
Previous | Next | Audio Book for Spark Interview Questions is available here | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala
Question: What all steps are followed when you submit the Spark Application on YARN cluster manager?
Answer: Spark orchestrates its operations through the driver program. When the driver program is run, the Spark framework initializes executor processes on the cluster hosts that process your data. The following occurs when you submit a Spark application to a cluster:
1.The driver is launched and invokes the main method in the Spark application.
2.The driver requests resources from the cluster manager to launch executors.
3.The cluster manager launches executors on behalf of the driver program.
4.The driver runs the application. Based on the transformations and actions in the application, the driver sends tasks to executors.
5.Tasks are run on executors to compute and save results.
6.If dynamic allocation is enabled, after executors are idle for a specified period, they are released.
7.When driver's main method exits or calls SparkContext.stop, it terminates any outstanding executors and releases resources from the cluster manager.
Question: How can you monitor and debug the Spark application submitted over YARN?
Answer: To obtain information about Spark application behavior you can consult YARN logs and the Spark web application UI.
Question: What general problem, you see when you need to run pyspark?
Answer: Managing dependencies and making them available for Python jobs on a cluster can be difficult. To determine which dependencies are required on the cluster, you must understand that Spark code applications run in Spark executor processes distributed throughout the cluster. If the Python transformations you define use any third-party libraries, such as NumPy or nltk, Spark executors require access to those libraries when they run on remote executors.
Question: In which scenario, python is preferred than Scala and Java for Spark application?
Answer: Apache Spark provides APIs in non-JVM languages such as Python. Many data scientists use Python because it has a rich variety of numerical libraries with a statistical, machine-learning, or optimization focus
Question: If you need a single file, while running your program on various nodes in cluster, how can you provide that to your application?
Answer: If you need only single file, which needs to transferred each node, you can use --py-files option, while submitting the application using spark-submit and specify the local path to the file. Or you can use programmatic option, sc.addPyFiles() function.
Previous | Next | Audio Book for Spark Interview Questions is available here | Top 150 Latest Spark Interview Questions | Quickly go through Spark Training Python & Scala
- Training Access: No time constraint and Any future enhancements on same and subscribed training will be free.
- Question Bank
(Online Simulator): Now you can have free
updates for additional or updated Questions till
your subscription is active.
- On
Mobile/Tablet/Desktop : You know this
particular exam you can access from your mobile,
tablet or Desktop. You just need internet access and
browser.
- Training Institute : Do you know many of the training institutes subscribe this products from HadoopExam to train their students.
Do
you know?
Read all testimonials its learners voice : Testimonials
Read all testimonials its learners voice : Testimonials