The unit of storage that can store one are more records in a hash file organization are a. Buckets b. Disk pages c. Blocks d. Nodes
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| 14. | The unit of storage that can store one are more records in a hash file organization are |
| a. | Buckets |
| b. | Disk pages |
| c. | Blocks |
| d. | Nodes |
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- 166. A unit of storage that can store one or more records in a hash file organization is denoted as a. Buckets b. Disk pages c. Blocks d. Nodes1. A hashing function converts a large ___ to a small ___. 2. A ___ occurs when two keys hash to the same address. 3. For an open hashing scheme, the records within each bucket are stored in key order ( true / false ). 4. For an open hashing scheme, the most recently inserted record will be on the front end of the bucket list ( true / false )167. The file organization which allows us to read records that would satisfy the join condition by using one block read is a. Heap file organization b. Sequential file organization c. Clustering file organization d. Hash file organization
- Password Cracking Each student should be able to access* one PassXX.hash file. This file contains 4 unsalted md5 password hashes (md5 is commonly used for hashing passwords, though it is a bit weak for modern use. It is very important to salt passwords before hashing them, since leaving them unsalted makes them easier to crack. However, many sites fail to do this). Your assignment is to use Hashcat (or another password cracking or password "recovery" tool) to retrieve the original passwords from the hashes, and submit the password/hash pairs. Each set of hashes contains 1 very easy password and 3 slightly challenging passwords of differing format. Link to hashcat: https://hashcat.net/hashcat/ Note: You will also need one or more dictionaries to perform a dictionary attack. *access: Files are accessible based on your last name. You should see a large number of files that are not accessible due to your account having a wrong last name, and one file that is accessible that lacks…A hash function should be independent of the capacity of the hash table. Select one: a. False O b. True2 Hashing for URL Retrieval: Given 10,000 URL visit records, design a hashing-based method so that we can quickly retrieve URLS that are most frequently visited. Describe your design concerns in a txt file. Like how you would design the data structure and how you plan to process input and generate output. For instance, your input is a file containing 10,000 rows, where each row contains: URLaddress,visit_timestamp Note that one URLaddress can be visited multiple times.
- I need help debugging this. // Cooper College maintains a master file of students and credits // earned. Each semester the master is updated with a transaction // file that contains credits earned during the semester. // Each file is sorted in Student ID number order. start Declarations num masterID string masterName num masterCredits num transID num transCredits string bothDone = "N" num HIGH_VALUE = 999999 InputFile master InputFile trans OutputFile newMaster getReady() while bothDone = "N" detailLoop() endwhile allDone() stop getReady() open master "studentFile.dat" open trans "semesterCredits.dat" open newMaster "updatedStudentFile.dat" readMaster() readTrans() checkBoth() return readMaster() input masterID, masterName, masterCredits from master if eof then masterID = HIGH_VALUE endif return readTrans() input transID, transCredits from trans if eof then…Given 10,000 URL visit records, design a hashing-based method so that we can quickly retrieve URLS that are most frequently visited. Describe your design concerns in a txt file. Like how you would design the data structure and how you plan to process input and generate output. For instance, your input is a file containing 10,000 rows, where each row contains: URLaddress,visit_timestamp Note that one URLaddress can be visited multiple times.81. The process of finding some other position when hash address is occupied is classified as a. collision resolution b. address space resolution c. multiple hashing resolution d. chaining resolution
- The purpose of this project is to assess your ability to: Implement a hash table Utilize a hash table to efficiently locate data Analyze and compare algorithms for efficiency using Big-O notation For this project, you will implement a hash table and use it to store words in a large text file. Your hash table should use chaining for collision resolution. You may design any hash function you wish. Your program will read a file and insert each word into a hash table. Once the table is populated, allow the user to enter words to search for. For each word entered, your program should report the number of elements inspected and whether or not the word was located. Provide an analysis of your insert and search algorithms using Big-O notation. Be sure to provide justification for your claims.Close the virtual machines now and close the virtual box. Use your real machine to respond to the following : Use notepad to create a txt file containing the following : hello how are you 1234567890!? compute the MD5 hash of this file. Write the hash here …........................................................................................................... what is the size output of MD5 ? …........................................................................... what would be the MD5 size output if you change the input file to be: ello how are you 1234567890!? ….............................................................................. give also the MD5 output of this modified file …..................................................................................... I have changed the last symbol in step 1 (which is the symbol “?”) by a mystery symbol that you need to figure it out. I have only used numbers symbols. What is this mystery symbol if I…Code in JAVA please: Choose one of the following hashing technique and one hashing resolution technique to demonstrate hashing technique. You are required to use array of objects with minimum three data field. Your program should include the following options: - Add a new record. Search for a record. List all the records. Hashing Techniques: Pseudorandom + quadratic probing