Omgzlook is a website for Cloudera certification CCA175 Exam Simulator Fee exam to provide a short-term effective training. Cloudera CCA175 Exam Simulator Fee is a certification exam which is able to change your life. IT professionals who gain Cloudera CCA175 Exam Simulator Fee authentication certificate must have a higher salary than the ones who do not have the certificate and their position rising space is also very big, who will have a widely career development prospects in the IT industry in. If you choose our products, we will choose efficient & high-passing preparation materials. If you find someone around has a nice life go wild, it is because that they may have favored the use of study & work method different from normal people. You can free download part of Omgzlook's simulation test questions and answers about Cloudera certification CCA175 Exam Simulator Fee exam as a try.
Cloudera Certified CCA175 Success is has method.
What made our CCA175 - CCA Spark and Hadoop Developer Exam Exam Simulator Fee study guide so amazing? The answer that we only supply the latest and valid CCA175 - CCA Spark and Hadoop Developer Exam Exam Simulator Fee exam braindumps for our customers and first-class after-sales services come after the first-class CCA175 - CCA Spark and Hadoop Developer Exam Exam Simulator Fee learning engine. With this training materials, you will speed up the pace of success, and you will be more confident. Cloudera CCA175 Reliable Practice Exam Online certification exam is very important for every IT person.
We regard the customer as king so we put a high emphasis on the trust of every users, therefore our security system can protect you both in payment of CCA175 Exam Simulator Fee guide braindumps and promise that your computer will not be infected during the process of payment on our CCA175 Exam Simulator Fee study materials. Moreover, if you end up the cooperation between us,we have the responsibility to delete your personal information on CCA175 Exam Simulator Fee exam prep. In a word, Wwe have data protection act for you to avoid information leakage!
Omgzlook Cloudera CCA175 Exam Simulator Fee braindump has a high hit rate.
Once you learn all CCA175 Exam Simulator Fee questions and answers in the study guide, try Omgzlook's innovative testing engine for exam like CCA175 Exam Simulator Fee practice tests. These tests are made on the pattern of the CCA175 Exam Simulator Fee real exam and thus remain helpful not only for the purpose of revision but also to know the real exam scenario. To ensure excellent score in the exam, CCA175 Exam Simulator Fee braindumps are the real feast for all exam candidates. They contain questions and answers on all the core points of your exam syllabus. Most of these questions are likely to appear in the CCA175 Exam Simulator Fee real exam.
Wanting to upgrade yourself, are there plans to take Cloudera CCA175 Exam Simulator Fee exam? If you want to attend CCA175 Exam Simulator Fee exam, what should you do to prepare for the exam? Maybe you have found the reference materials that suit you. And then are what materials your worthwhile option? Do you have chosen Omgzlook Cloudera CCA175 Exam Simulator Fee real questions and answers? If so, you don't need to worry about the problem that can't pass the exam.
CCA175 PDF DEMO:
QUESTION NO: 1
Select top 2 products by price
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select all the products which has product code as null
val results = sqlContext.sql(......SELECT' FROM products WHERE code IS NULL......) results. showQ val results = sqlContext.sql(......SELECT * FROM products WHERE code = NULL ",,M ) results.showQ
Step 2 : Select all the products , whose name starts with Pen and results should be order by Price descending order. val results = sqlContext.sql(......SELECT * FROM products
WHERE name LIKE 'Pen %' ORDER BY price DESC......)
results. showQ
Step 3 : Select all the products , whose name starts with Pen and results should be order by Price descending order and quantity ascending order. val results = sqlContext.sql('.....SELECT * FROM products WHERE name LIKE 'Pen %' ORDER BY price DESC, quantity......) results. showQ
Step 4 : Select top 2 products by price
val results = sqlContext.sql(......SELECT' FROM products ORDER BY price desc
LIMIT2......}
results. show()
4. CORRECT TEXT
Problem Scenario 4: You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.categories
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following activities.
Import Single table categories (Subset data} to hive managed table , where category_id between 1 and 22
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import Single table (Subset data)
sqoop import --connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba - password=cloudera -table=categories -where "\'category_id\' between 1 and 22" --hive- import --m 1
Note: Here the ' is the same you find on ~ key
This command will create a managed table and content will be created in the following directory.
/user/hive/warehouse/categories
Step 2 : Check whether table is created or not (In Hive)
show tables;
select * from categories;
QUESTION NO: 2
. Create a Hive parquet table using SparkSQL and load data in it.
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Create this tile in HDFS under following directory (Without header}
/user/cloudera/he/exam/task1/productcsv
Step 2 : Now using Spark-shell read the file as RDD
// load the data into a new RDD
val products = sc.textFile("/user/cloudera/he/exam/task1/product.csv")
// Return the first element in this RDD
prod u cts.fi rst()
Step 3 : Now define the schema using a case class
case class Product(productid: Integer, code: String, name: String, quantity:lnteger, price:
Float)
Step 4 : create an RDD of Product objects
val prdRDD = products.map(_.split(",")).map(p =>
Product(p(0).tolnt,p(1),p(2),p(3}.tolnt,p(4}.toFloat))
prdRDD.first()
prdRDD.count()
Step 5 : Now create data frame val prdDF = prdRDD.toDF()
Step 6 : Now store data in hive warehouse directory. (However, table will not be created } import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("orc").saveAsTable("product_orc_table") step 7:
Now create table using data stored in warehouse directory. With the help of hive.
hive
show tables
CREATE EXTERNAL TABLE products (productid int,code string,name string .quantity int, price float}
STORED AS ore
LOCATION 7user/hive/warehouse/product_orc_table';
Step 8 : Now create a parquet table
import org.apache.spark.sql.SaveMode
prdDF.write.mode(SaveMode.Overwrite).format("parquet").saveAsTable("product_parquet_ table")
Step 9 : Now create table using this
CREATE EXTERNAL TABLE products_parquet (productid int,code string,name string
.quantity int, price float}
STORED AS parquet
LOCATION 7user/hive/warehouse/product_parquet_table';
Step 10 : Check data has been loaded or not.
Select * from products;
Select * from products_parquet;
3. CORRECT TEXT
Problem Scenario 84 : In Continuation of previous question, please accomplish following activities.
1. Select all the products which has product code as null
2. Select all the products, whose name starts with Pen and results should be order by Price descending order.
3. Select all the products, whose name starts with Pen and results should be order by
Price descending order and quantity ascending order.
QUESTION NO: 3
CORRECT TEXT
Problem Scenario 13 : You have been given following mysql database details as well as other info.
user=retail_dba
password=cloudera
database=retail_db
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Please accomplish following.
1. Create a table in retailedb with following definition.
CREATE table departments_export (department_id int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOWQ);
2. Now import the data from following directory into departments_export table,
/user/cloudera/departments new
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Login to musql db
mysql --user=retail_dba -password=cloudera
show databases; use retail_db; show tables;
step 2 : Create a table as given in problem statement.
CREATE table departments_export (departmentjd int(11), department_name varchar(45), created_date T1MESTAMP DEFAULT NOW()); show tables;
Step 3 : Export data from /user/cloudera/departmentsnew to new table departments_export sqoop export -connect jdbc:mysql://quickstart:3306/retail_db \
-username retaildba \
--password cloudera \
--table departments_export \
-export-dir /user/cloudera/departments_new \
-batch
Step 4 : Now check the export is correctly done or not. mysql -user*retail_dba - password=cloudera show databases; use retail _db;
show tables;
select' from departments_export;
QUESTION NO: 4
CORRECT TEXT
Problem Scenario 96 : Your spark application required extra Java options as below. -
XX:+PrintGCDetails-XX:+PrintGCTimeStamps
Please replace the XXX values correctly
./bin/spark-submit --name "My app" --master local[4] --conf spark.eventLog.enabled=talse -
-conf XXX hadoopexam.jar
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution
XXX: Mspark.executoi\extraJavaOptions=-XX:+PrintGCDetails -XX:+PrintGCTimeStamps"
Notes: ./bin/spark-submit \
--class <maln-class>
--master <master-url> \
--deploy-mode <deploy-mode> \
-conf <key>=<value> \
# other options
< application-jar> \
[application-arguments]
Here, conf is used to pass the Spark related contigs which are required for the application to run like any specific property(executor memory) or if you want to override the default property which is set in Spark-default.conf.
QUESTION NO: 5
CORRECT TEXT
Problem Scenario 81 : You have been given MySQL DB with following details. You have been given following product.csv file product.csv productID,productCode,name,quantity,price
1001,PEN,Pen Red,5000,1.23
1002,PEN,Pen Blue,8000,1.25
1003,PEN,Pen Black,2000,1.25
1004,PEC,Pencil 2B,10000,0.48
1005,PEC,Pencil 2H,8000,0.49
1006,PEC,Pencil HB,0,9999.99
Now accomplish following activities.
1 . Create a Hive ORC table using SparkSql
2 . Load this data in Hive table.
EMC D-PEXE-IN-A-00 - We think of providing the best services as our obligation. We will try our best to help you pass Nutanix NCSE-Core exam successfully. It is quite convenient to study with our SAP C-S4CFI-2402 study materials. You will have a real try after you download our free demo of Cisco 500-490 exam software. Get our SAP C-WZADM-2404 certification actual exam and just make sure that you fully understand it and study every single question in it by heart.
Updated: May 28, 2022