If you buy the CCA175 Exam Pass4Sure test prep from our company, we can assure to you that you will have the chance to enjoy the authoritative study platform provided by our company to improve your study efficiency. Our company has successfully created ourselves famous brands in the past years, and more importantly, all of the CCA175 Exam Pass4Sure exam braindumps from our company have been authenticated by the international authoritative institutes and cater for the demands of all customers at the same time. We are attested that the quality of the CCA175 Exam Pass4Sure test prep from our company have won great faith and favor of customers. There is no exaggeration to say that with our CCA175 Exam Pass4Sure study materials for 20 to 30 hours, you will be ready to pass your CCA175 Exam Pass4Sure exam. Since our CCA175 Exam Pass4Sure exam torrent is designed on the purpose to be understood by our customers all over the world, it is compiled into the simplest language to save time and efforts. Our system will automatically send you the updated version of the CCA175 Exam Pass4Sure preparation quiz via email.
Cloudera Certified CCA175 Your life will be even more exciting.
Once the user has used our CCA175 - CCA Spark and Hadoop Developer Exam Exam Pass4Sure test prep for a mock exercise, the product's system automatically remembers and analyzes all the user's actual operations. The price of our CCA175 Reliable Test Cram learning guide is among the range which you can afford and after you use our CCA175 Reliable Test Cram study materials you will certainly feel that the value of the CCA175 Reliable Test Cram exam questions far exceed the amount of the money you pay for the pass rate of our practice quiz is 98% to 100% which is unmarched in the market. Choosing our CCA175 Reliable Test Cram study guide equals choosing the success and the perfect service.
In the process of using the CCA Spark and Hadoop Developer Exam study training dumps, once users have any questions about our study materials, the user can directly by E-mail us, our products have a dedicated customer service staff to answer for the user, they are 24 hours service for you, we are very welcome to contact us by E-mail and put forward valuable opinion for us. Our CCA175 Exam Pass4Sure latest questions already have many different kinds of learning materials, users may be confused about the choice, what is the most suitable CCA175 Exam Pass4Sure test guide? Believe that users will get the most satisfactory answer after consultation. Our online service staff is professionally trained, and users' needs about CCA175 Exam Pass4Sure test guide can be clearly understood by them.
Cloudera CCA175 Exam Pass4Sure - Our reputation is really good.
Our CCA175 Exam Pass4Sure exam quiz is unlike other exam materials that are available on the market, our CCA175 Exam Pass4Sure study dumps specially proposed different versions to allow you to learn not only on paper, but also to use mobile phones to learn. This greatly improves the students' availability of fragmented time. So you can achieve your CCA175 Exam Pass4Sure certification easily without disrupting your daily routine. And we will give you 100% success guaranteed on the CCA175 Exam Pass4Sure training guide.
In short, you will find the convenience and practicality of our CCA175 Exam Pass4Sure quiz guide in the process of learning. We will also continue to innovate and improve functions to provide you with better services.
CCA175 PDF DEMO:
QUESTION NO: 1
CORRECT TEXT
Problem Scenario 49 : You have been given below code snippet (do a sum of values by key}, with intermediate output.
val keysWithValuesList = Array("foo=A", "foo=A", "foo=A", "foo=A", "foo=B", "bar=C",
"bar=D", "bar=D")
val data = sc.parallelize(keysWithValuesl_ist}
//Create key value pairs
val kv = data.map(_.split("=")).map(v => (v(0), v(l))).cache()
val initialCount = 0;
val countByKey = kv.aggregateByKey(initialCount)(addToCounts, sumPartitionCounts)
Now define two functions (addToCounts, sumPartitionCounts) such, which will produce following results.
Output 1
countByKey.collect
res3: Array[(String, Int)] = Array((foo,5), (bar,3))
import scala.collection._
val initialSet = scala.collection.mutable.HashSet.empty[String]
val uniqueByKey = kv.aggregateByKey(initialSet)(addToSet, mergePartitionSets)
Now define two functions (addToSet, mergePartitionSets) such, which will produce following results.
Output 2:
uniqueByKey.collect
res4: Array[(String, scala.collection.mutable.HashSet[String])] = Array((foo,Set(B, A}},
(bar,Set(C, D}}}
Answer:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
val addToCounts = (n: Int, v: String) => n + 1
val sumPartitionCounts = (p1: Int, p2: Int} => p1 + p2
val addToSet = (s: mutable.HashSet[String], v: String) => s += v
val mergePartitionSets = (p1: mutable.HashSet[String], p2: mutable.HashSet[String]) => p1
+ += p2
QUESTION NO: 2
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.
QUESTION NO: 3
. 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: 4
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: 5
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;
We are convinced that our Microsoft MB-700 exam questions can help you gain the desired social status and thus embrace success. In such a way, you can confirm that you get the convenience and fast from our SAP C_ARSOR_2404 study guide. The Huawei H13-511_V5.5 question dumps produced by our company, is helpful for our customers to pass their exams and get the Huawei H13-511_V5.5 certification within several days. IBM C1000-176 - According to the survey, the average pass rate of our candidates has reached 99%. Our IBM C1000-161 learning questions engage our working staff in understanding customers’ diverse and evolving expectations and incorporate that understanding into our strategies, thus you can 100% trust our IBM C1000-161 exam engine.
Updated: May 28, 2022