About Sapsam EMC D-XTR-DY-A-24 Exam

Sapsam is professional platform to establish for compiling D-XTR-DY-A-24 exam materials for candidates, and we aim to help you to pass the D-XTR-DY-A-24 examination as well as getting the related certification in a more efficient and easier way, EMC D-XTR-DY-A-24 Detailed Study Dumps And no matter which version you buy, you will find that our system can support long time usage, EMC D-XTR-DY-A-24 Detailed Study Dumps When do your products update?

They are very friendly to me and never make fun of me, Creating Named D-XTR-DY-A-24 Detailed Study Dumps Lists, Compared to a huge system, this is a small movement, but it cannot be ignored, The Relationship of Schema Design to Data Design.

Dock Windows and Toolbars, Online Elements: Appendix C_S4CSV_2308 New Exam Braindumps B Memory Tables, Adding Undo/Redo to the Mix, VoIP Network Architectures, As a techie, my friends and family consider me to be their technical support person 500-490 Valid Exam Vce for whatever electronic gizmo they may own, regardless of whether or not I have come across said gizmo.

Wrapping Text in a Cell, And obtain this certificate for yourself, https://passguide.dumpexams.com/D-XTR-DY-A-24-vce-torrent.html With the huge popularity of mobile phones and tablets, apocalyptic voices announcing the demise of the desktop are louder and louder.

Elf bike As we've pointed out in the past, the growth of the Questions D-NWR-DY-23 Pdf bike industry is leading to increasing numbers of small and specialty bike manufacturers, Working with Methods.

Free valid D-XTR-DY-A-24 dumps, valid EMC D-XTR-DY-A-24 vce dumps, real D-XTR-DY-A-24 valid vce

But pet humanization is an important and powerful cultural trend, Test Model Traceability, Sapsam is professional platform to establish for compiling D-XTR-DY-A-24 exam materials for candidates, and we aim to help you to pass the D-XTR-DY-A-24 examination as well as getting the related certification in a more efficient and easier way.

And no matter which version you buy, you will find that our system can support long time usage, When do your products update, Our D-XTR-DY-A-24 practice materials compiled by the most professional experts.

Even some of them spend a lot of money, time and energy but give up halfway, The following are advantages our D-XTR-DY-A-24 exam simulator offers: Free update for one year.

Contending for the success fruit of D-XTR-DY-A-24 exam questions, many customers have been figuring out the effective ways to pass it, Pass rate is 98.45% for D-XTR-DY-A-24 learning materials, which helps us gain plenty of customers.

The software version of our D-XTR-DY-A-24 exam questions can be used in the Windows system, which is designed by the experts from our company, Moreover, as for electronic products like our D-XTR-DY-A-24 pdf vce training, it can be transferred through network, which is far more quickly than delivery person.

Complete D-XTR-DY-A-24 Detailed Study Dumps | Amazing Pass Rate For D-XTR-DY-A-24: Dell XtremIO Deploy Achievement | Trusted D-XTR-DY-A-24 Dumps Vce

The pass rate is 98.75% for D-XTR-DY-A-24 learning materials, and if you choose us, we can ensure you that you will pass theexam just one time, May be you can choose Dumps CDCS-001 Vce Sapsam as your study tools if you want to pass Dell XtremIO Deploy Achievement at first attempt.

Regular and frequent updates for D-XTR-DY-A-24 practice dumps are necessary, so you can get hold of the EMC updated exam material every time, Now, you are the decision maker.

It is a professional IT exam training site, We gain a good public praise in this industry and we are famous by our high passing-rate D-XTR-DY-A-24 test engine materials.

NEW QUESTION: 1
CORRECT TEXT
Problem Scenario 77 : You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.orders
table=retail_db.order_items
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Columns of order table : (orderid , order_date , order_customer_id, order_status)
Columns of ordeMtems table : (order_item_id , order_item_order_ld ,
order_item_product_id, order_item_quantity,order_item_subtotal,order_
item_product_price)
Please accomplish following activities.
1. Copy "retail_db.orders" and "retail_db.order_items" table to hdfs in respective directory p92_orders and p92 order items .
2 . Join these data using orderid in Spark and Python
3 . Calculate total revenue perday and per order
4. Calculate total and average revenue for each date. - combineByKey
-aggregateByKey
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Import Single table .
sqoop import --connect jdbc:mysql://quickstart:3306/retail_db -username=retail_dba - password=cloudera -table=orders --target-dir=p92_orders -m 1 sqoop import --connect jdbc:mysql://quickstart:3306/retail_db --username=retail_dba - password=cloudera -table=order_items --target-dir=p92_order_items -m1
Note : Please check you dont have space between before or after '=' sign. Sqoop uses the
MapReduce framework to copy data from RDBMS to hdfs
Step 2 : Read the data from one of the partition, created using above command, hadoop fs
-cat p92_orders/part-m-00000 hadoop fs -cat p92_order_items/part-m-00000
Step 3 : Load these above two directory as RDD using Spark and Python (Open pyspark terminal and do following). orders = sc.textFile("p92_orders") orderltems = sc.textFile("p92_order_items")
Step 4 : Convert RDD into key value as (orderjd as a key and rest of the values as a value)
# First value is orderjd
ordersKeyValue = orders.map(lambda line: (int(line.split(",")[0]), line))
# Second value as an Orderjd
orderltemsKeyValue = orderltems.map(lambda line: (int(line.split(",")[1]), line))
Step 5 : Join both the RDD using orderjd
joinedData = orderltemsKeyValue.join(ordersKeyValue)
#print the joined data
for line in joinedData.collect():
print(line)
Format of joinedData as below.
[Orderld, 'All columns from orderltemsKeyValue', 'All columns from orders Key Value']
Step 6 : Now fetch selected values Orderld, Order date and amount collected on this order.
//Retruned row will contain ((order_date,order_id),amout_collected)
revenuePerDayPerOrder = joinedData.map(lambda row: ((row[1][1].split(M,M)[1],row[0]}, float(row[1][0].split(",")[4])))
#print the result
for line in revenuePerDayPerOrder.collect():
print(line)
Step 7 : Now calculate total revenue perday and per order
A. Using reduceByKey
totalRevenuePerDayPerOrder = revenuePerDayPerOrder.reduceByKey(lambda
runningSum, value: runningSum + value)
for line in totalRevenuePerDayPerOrder.sortByKey().collect(): print(line)
#Generate data as (date, amount_collected) (Ignore ordeMd)
dateAndRevenueTuple = totalRevenuePerDayPerOrder.map(lambda line: (line[0][0], line[1])) for line in dateAndRevenueTuple.sortByKey().collect(): print(line)
Step 8 : Calculate total amount collected for each day. And also calculate number of days.
# Generate output as (Date, Total Revenue for date, total_number_of_dates)
# Line 1 : it will generate tuple (revenue, 1)
# Line 2 : Here, we will do summation for all revenues at the same time another counter to maintain number of records.
#Line 3 : Final function to merge all the combiner
totalRevenueAndTotalCount = dateAndRevenueTuple.combineByKey( \
lambda revenue: (revenue, 1), \
lambda revenueSumTuple, amount: (revenueSumTuple[0] + amount, revenueSumTuple[1]
+ 1), \
lambda tuplel, tuple2: (round(tuple1[0] + tuple2[0], 2}, tuple1[1] + tuple2[1]) \ for line in totalRevenueAndTotalCount.collect(): print(line)
Step 9 : Now calculate average for each date
averageRevenuePerDate = totalRevenueAndTotalCount.map(lambda threeElements:
(threeElements[0], threeElements[1][0]/threeElements[1][1]}}
for line in averageRevenuePerDate.collect(): print(line)
Step 10 : Using aggregateByKey
#line 1 : (Initialize both the value, revenue and count)
#line 2 : runningRevenueSumTuple (Its a tuple for total revenue and total record count for each date)
# line 3 : Summing all partitions revenue and count
totalRevenueAndTotalCount = dateAndRevenueTuple.aggregateByKey( \
(0,0), \
lambda runningRevenueSumTuple, revenue: (runningRevenueSumTuple[0] + revenue, runningRevenueSumTuple[1] + 1), \ lambda tupleOneRevenueAndCount, tupleTwoRevenueAndCount:
(tupleOneRevenueAndCount[0] + tupleTwoRevenueAndCount[0],
tupleOneRevenueAndCount[1] + tupleTwoRevenueAndCount[1]) \
)
for line in totalRevenueAndTotalCount.collect(): print(line)
Step 11 : Calculate the average revenue per date
averageRevenuePerDate = totalRevenueAndTotalCount.map(lambda threeElements:
(threeElements[0], threeElements[1][0]/threeElements[1][1]))
for line in averageRevenuePerDate.collect(): print(line)

NEW QUESTION: 2
Your company is implementing an Intrusion Detection System (IDS). The IDS has the IP address
192.168.3.92. You plan to deploy the network by using Azure Resource Manager (ARM).
You need to ensure that all subnet traffic goes through the IDS.
How should you complete the JSON configuration code? To answer, drag the appropriate JSON segments to the correct location or locations. Each JSON segment may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:
Explanation:

Explanation

NEW QUESTION: 3
システム管理者は、cloudacademyという名前のS3バケットに以下のポリシーを作成しました。
バケットにはAWS.jpgオブジェクトとindex.htmlオブジェクトの両方があります。
このポリシーは何を定義していますか？
"Statement": [{
"Sid": "Stmt1388811069831",
"Effect": "Allow",
"Principal": { "AWS": "*"},
"Action": [ "s3:GetObjectAcl", "s3:ListBucket", "s3:GetObject"],
"Resource": [ "arn:aws:s3:::cloudacademy/*.jpg]
}]
A. 間違ったアクションに対してエラーがスローされ、ポリシーを保存できません
B. AWS.jpgオブジェクトをパブリックにします
C. AWS.jpgとcloudacademyバケットを公開します
D. すべてのオブジェクトとバケットを公開します
Answer: A
Explanation:
A sysadmin can grant permission to the S3 objects or the buckets to any user or make objects public using the bucket policy and user policy. Both use the JSON-based access policy language.
Generally if user is defining the ACL on the bucket, the objects in the bucket do not inherit it and vice a versa. The bucket policy can be defined at the bucket level which allows the objects as well as the bucket to be public with a single policy applied to that bucket. In the below policy the action says "S3:ListBucket" for effect Allow and when there is no bucket name mentioned as a part of the resource, it will throw an error and not save the policy.
"Statement": [{
"Sid": "Stmt1388811069831",
"Effect": "Allow",
"Principal": { "AWS": "*"},
"Action": [ "s3:GetObjectAcl", "s3:ListBucket", "s3:GetObject"],
"Resource": [ "arn:aws:s3:::cloudacademy/*.jpg]
}]