Do not discuss certification exams tasks in a public forum. This violates the agreement you accepted when you registered for the exam. If you have any questions or issues, please send an email to certification@hortonworks.com ... View more

The Spark exam is currently on HDP 2.4, which is Spark 1.6. ... View more

No - there is no Java on the HDPCD exam. It is Pig, Hive, Sqoop and Flume, and to be fully prepared you should be able to perform all of the exam objectives listed here: http://hortonworks.com/training/certification/hdpcd-certification/ ... View more

I wonder if they were just having system errors at the time you tried to login. I just logged in fine. If you are still having the issue, you will need to contact PSI. They will be able to assist: http://it.psionline.com/contact-us/support/ ... View more

There is no IDE available on the Spark exam. You can use pyspark or spark-shell to execute your code. You do NOT have access to google or the internet. You DO have access to the Spark doc pages, the Python and Scala doc pages, and the Hortonworks documentation as well. There is currently no practice exam for the Spark exam. If you need experience writing Spark applications on HDP using Python or Scala, I recommend downloading the Sandbox and working through the Hortonworks Spark tutorials. ... View more

List the contents of the following folder: # /usr/hdp/current You will see the version number of HDP (plus the version of every component). For example, I have HPD 2.3.0.0-2557 on the machine below: [root@namenode ~]# ls -la /usr/hdp/current/ total 8 drwxr-xr-x 2 root root 4096 Jul 26 2015 . drwxr-xr-x 4 root root 4096 Jul 26 2015 .. lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-client -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-gc -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-master -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-monitor -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-tablet -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 30 Jul 26 2015 accumulo-tracer -> /usr/hdp/2.3.0.0-2557/accumulo lrwxrwxrwx 1 root root 27 Jul 26 2015 atlas-server -> /usr/hdp/2.3.0.0-2557/atlas lrwxrwxrwx 1 root root 28 Jul 26 2015 falcon-client -> /usr/hdp/2.3.0.0-2557/falcon lrwxrwxrwx 1 root root 28 Jul 26 2015 falcon-server -> /usr/hdp/2.3.0.0-2557/falcon lrwxrwxrwx 1 root root 27 Jul 26 2015 flume-server -> /usr/hdp/2.3.0.0-2557/flume lrwxrwxrwx 1 root root 28 Jul 26 2015 hadoop-client -> /usr/hdp/2.3.0.0-2557/hadoop lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-client -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-datanode -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-journalnode -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-namenode -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-nfs3 -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-portmap -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-hdfs-secondarynamenode -> /usr/hdp/2.3.0.0-2557/hadoop-hdfs lrwxrwxrwx 1 root root 35 Jul 26 2015 hadoop-httpfs -> /usr/hdp/2.3.0.0-2557/hadoop-httpfs lrwxrwxrwx 1 root root 38 Jul 26 2015 hadoop-mapreduce-client -> /usr/hdp/2.3.0.0-2557/hadoop-mapreduce lrwxrwxrwx 1 root root 38 Jul 26 2015 hadoop-mapreduce-historyserver -> /usr/hdp/2.3.0.0-2557/hadoop-mapreduce lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-yarn-client -> /usr/hdp/2.3.0.0-2557/hadoop-yarn lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-yarn-nodemanager -> /usr/hdp/2.3.0.0-2557/hadoop-yarn lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-yarn-resourcemanager -> /usr/hdp/2.3.0.0-2557/hadoop-yarn lrwxrwxrwx 1 root root 33 Jul 26 2015 hadoop-yarn-timelineserver -> /usr/hdp/2.3.0.0-2557/hadoop-yarn lrwxrwxrwx 1 root root 27 Jul 26 2015 hbase-client -> /usr/hdp/2.3.0.0-2557/hbase lrwxrwxrwx 1 root root 27 Jul 26 2015 hbase-master -> /usr/hdp/2.3.0.0-2557/hbase lrwxrwxrwx 1 root root 27 Jul 26 2015 hbase-regionserver -> /usr/hdp/2.3.0.0-2557/hbase lrwxrwxrwx 1 root root 26 Jul 26 2015 hive-client -> /usr/hdp/2.3.0.0-2557/hive lrwxrwxrwx 1 root root 26 Jul 26 2015 hive-metastore -> /usr/hdp/2.3.0.0-2557/hive lrwxrwxrwx 1 root root 26 Jul 26 2015 hive-server2 -> /usr/hdp/2.3.0.0-2557/hive lrwxrwxrwx 1 root root 35 Jul 26 2015 hive-webhcat -> /usr/hdp/2.3.0.0-2557/hive-hcatalog lrwxrwxrwx 1 root root 27 Jul 26 2015 kafka-broker -> /usr/hdp/2.3.0.0-2557/kafka lrwxrwxrwx 1 root root 26 Jul 26 2015 knox-server -> /usr/hdp/2.3.0.0-2557/knox lrwxrwxrwx 1 root root 28 Jul 26 2015 mahout-client -> /usr/hdp/2.3.0.0-2557/mahout lrwxrwxrwx 1 root root 27 Jul 26 2015 oozie-client -> /usr/hdp/2.3.0.0-2557/oozie lrwxrwxrwx 1 root root 27 Jul 26 2015 oozie-server -> /usr/hdp/2.3.0.0-2557/oozie lrwxrwxrwx 1 root root 29 Jul 26 2015 phoenix-client -> /usr/hdp/2.3.0.0-2557/phoenix lrwxrwxrwx 1 root root 29 Jul 26 2015 phoenix-server -> /usr/hdp/2.3.0.0-2557/phoenix lrwxrwxrwx 1 root root 25 Jul 26 2015 pig-client -> /usr/hdp/2.3.0.0-2557/pig lrwxrwxrwx 1 root root 34 Jul 26 2015 ranger-admin -> /usr/hdp/2.3.0.0-2557/ranger-admin lrwxrwxrwx 1 root root 32 Jul 26 2015 ranger-kms -> /usr/hdp/2.3.0.0-2557/ranger-kms lrwxrwxrwx 1 root root 37 Jul 26 2015 ranger-usersync -> /usr/hdp/2.3.0.0-2557/ranger-usersync lrwxrwxrwx 1 root root 28 Jul 26 2015 slider-client -> /usr/hdp/2.3.0.0-2557/slider lrwxrwxrwx 1 root root 27 Jul 26 2015 spark-client -> /usr/hdp/2.3.0.0-2557/spark lrwxrwxrwx 1 root root 27 Jul 26 2015 spark-historyserver -> /usr/hdp/2.3.0.0-2557/spark lrwxrwxrwx 1 root root 27 Jul 26 2015 sqoop-client -> /usr/hdp/2.3.0.0-2557/sqoop lrwxrwxrwx 1 root root 27 Jul 26 2015 sqoop-server -> /usr/hdp/2.3.0.0-2557/sqoop lrwxrwxrwx 1 root root 27 Jul 26 2015 storm-client -> /usr/hdp/2.3.0.0-2557/storm lrwxrwxrwx 1 root root 27 Jul 26 2015 storm-nimbus -> /usr/hdp/2.3.0.0-2557/storm lrwxrwxrwx 1 root root 41 Jul 26 2015 storm-slider-client -> /usr/hdp/2.3.0.0-2557/storm-slider-client lrwxrwxrwx 1 root root 27 Jul 26 2015 storm-supervisor -> /usr/hdp/2.3.0.0-2557/storm lrwxrwxrwx 1 root root 25 Jul 26 2015 tez-client -> /usr/hdp/2.3.0.0-2557/tez lrwxrwxrwx 1 root root 31 Jul 26 2015 zookeeper-client -> /usr/hdp/2.3.0.0-2557/zookeeper lrwxrwxrwx 1 root root 31 Jul 26 2015 zookeeper-server -> /usr/hdp/2.3.0.0-2557/zookeeper ... View more

Got it! No - that's not really anything we have that is in any kind of public-facing format. ... View more

You should be able to implement both types of joins in Java: map-side and reduce-side. ... View more

The HDPCA certification and digital badge are tied to a version of HDP used when you took the exam. So if you recently passed it, that would be HDP 2.3. You will always hold this certification, but after a couple of years it will become out of date as the framework evolves. ... View more

Yes - you can run the scripts however you like. Keep in mind there may be a task that requires you to use Tez. But if nothing is mentioned specifically in the task instructions, then you can run your Pig and Hive scripts using Tez or not. I would recommend using Tez though for every task when applicable. Like you said - why waste precious exam time. I will take offense to the "weak machine" comment. The instances we use are extremely large for the small amount of processing that happens on them - c3.4xlarge EC2 instances. The datasets on the exam are purposely small so that time is not wasted in processing a lot of data. The longest queries you run will take less than 90 seconds, and that is w/out using Tez. ... View more

@Sayali Desai - +1 for Geoffrey's comment: the forum is not the place to get resolution for exam issues like this. Please send an email to certification@hortonworks.com. This will open a support ticket and you will get assistance right away. They will issue you a free credit so you can register again. ... View more

@Fazil Aijaz Yes - there are shortcuts to the Pig, Hive, Sqoop and Flume docs. Look for the shortcuts on the desktop of the VM. The real exam environment has two tabs: one with a full desktop, and one with a terminal screen. If you just see an SSH shell into a terminal screen, then you are viewing the wrong tab. ... View more

@Sayali Desai - good questions, and these answers apply to all of our exams: 1. If you get disconnected, you simply reload the webpage that the exam is on. If you lose that page, you log back in to examslocal.com and re-launch the exam from there. 2. If you are facing lag during the practice exam, then you will likely get the same lag during the real exam. The lag is due to your internet connection either not being fast enough or consistent enough. VNC is a stream of images, and anytime your internet is slow or drops a connection to the VNC server, it creates the appearance of lag (even though the VM is running fine behind the scenes). If this happens, please let the exam proctor know. He/she will give you more time to complete the exam. TIP: If your internet is affecting your ability to accomplish anything on the exam, or if you are experiencing any type of technical issues with your HDP cluster or environment, let the proctor know. If it's a cluster issue, they will reach out to our technical support team to help try to fix the issue. If any problems can not be resolved in a timely fashion, you can simply stop the exam and reschedule it again. ... View more

@Hemant Javeri - you must follow the task instructions as stated in the exam. The instructions will clearly state the filename that you are supposed to save your query or code in. For example, task #3 might tell you to save your Hive query in a text file named /home/horton/solutions/task3 on the local filesystem. We do not care how you write or execute the script - you can use the Hive shell, Hive View in Ambari, write the query in a text editor using vi or gedit, etc. But you must run the script, it must generate the desired output, and you must save the query or code in the specified text file. ... View more

@Shikha Verma - The MySQL instance is running on a machine called "namenode", not localhost. If you want to run the mysql client, you should SSH onto namenode first: $ ssh root@namenode The password is "hadoop". Once you are on the namenode, then you can run mysql: # mysql --user root -p That password is also "hadoop". Let me know if that works. ... View more

We are doing some maintenance behind-the-scenes on the registration process for the HDPCD exam. You will be able to register for the exam today after 3:00 pm CDT. ... View more

Yes - that is the right exam for our HDPCD certification. ... View more

@Davide Isoardi - the HDF certification will be available in June. I will update the website - thank you for pointing that out. ... View more