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NEW QUESTION: 1
The patch 384610 was applied to the test environment successfully. To schedule the patch to be applied to the production environment, the Applications DBA should inform the users of the unavailability of the production environment. Which report can the Applications DBA look at to determine the estimated duration of the task, assuming that the hardware, server load, and applications running on the servers are unchanged?
A. Timing report
B. Action Details report
C. Bug Fixes report
D. Files Copied report
E. Action Summary report
F. Patch Details report
Answer: A

NEW QUESTION: 2
Which of the following is the final phase of the identity and access provisioning lifecycle?
A. Revocation
B. Removal
C. Validation
D. Recertification
Answer: A

NEW QUESTION: 3
ホストベースのIPSについてのどの3つの文は正しいですか？ （3を選択してください。）
A. これは、デスクトップレベルでの行動に基づいてアラートを生成することができます。
B. これは、暗号化されたファイルを表示することができます。
C. これは、シグネチャベースのポリシーを使用しています。
D. これは、周囲に展開することができます。
E. これは、ネットワークベースのIPSよりも制限のポリシーを持つことができます。
F. これは、展開のファイアウォールで動作します。
Answer: A,B,E
Explanation:
Explanation
If the network traffic stream is encrypted, HIPS has access to the traffic in unencrypted form.
HIPS can combine the best features of antivirus, behavioral analysis, signature filters, network firewalls, and
application firewalls in one package.
Host-based IPS operates by detecting attacks that occur on a host on which it is installed. HIPS works by
intercepting operating system and application calls, securing the operating system and application
configurations, validating incoming service requests, and analyzing local log files for after-the-fact suspicious
activity.
Source:
http://www.ciscopress.com/articles/article.asp?p=1336425
&seqNum=3

NEW QUESTION: 4
CORRECT TEXT
Problem Scenario 80 : You have been given MySQL DB with following details.
user=retail_dba
password=cloudera
database=retail_db
table=retail_db.products
jdbc URL = jdbc:mysql://quickstart:3306/retail_db
Columns of products table : (product_id | product_category_id | product_name | product_description | product_price | product_image )
Please accomplish following activities.
1. Copy "retaildb.products" table to hdfs in a directory p93_products
2. Now sort the products data sorted by product price per category, use productcategoryid colunm to group by category
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=products --target-dir=p93
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 : Step 2 : Read the data from one of the partition, created using above command, hadoop fs -cat p93_products/part-m-00000
Step 3 : Load this directory as RDD using Spark and Python (Open pyspark terminal and do following}. productsRDD = sc.textFile(Mp93_products")
Step 4 : Filter empty prices, if exists
#filter out empty prices lines
Nonempty_lines = productsRDD.filter(lambda x: len(x.split(",")[4]) > 0)
Step 5 : Create data set like (categroyld, (id,name,price)
mappedRDD = nonempty_lines.map(lambda line: (line.split(",")[1], (line.split(",")[0], line.split(",")[2], float(line.split(",")[4])))) tor line in mappedRDD.collect(): print(line)
Step 6 : Now groupBy the all records based on categoryld, which a key on mappedRDD it will produce output like (categoryld, iterable of all lines for a key/categoryld) groupByCategroyld = mappedRDD.groupByKey() for line in groupByCategroyld.collect():
print(line)
step 7 : Now sort the data in each category based on price in ascending order.
# sorted is a function to sort an iterable, we can also specify, what would be the Key on which we want to sort in this case we have price on which it needs to be sorted.
groupByCategroyld.map(lambda tuple: sorted(tuple[1], key=lambda tupleValue:
tupleValue[2])).take(5)
Step 8 : Now sort the data in each category based on price in descending order.
# sorted is a function to sort an iterable, we can also specify, what would be the Key on which we want to sort in this case we have price which it needs to be sorted.
on groupByCategroyld.map(lambda tuple: sorted(tuple[1], key=lambda tupleValue:
tupleValue[2] , reverse=True)).take(5)