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NEW QUESTION: 1
Which of the following can be the countermeasures to prevent NetBIOS NULL session enumeration in Windows 2000 operating systems?
A. Disabling SMB services entirely on individual hosts by unbinding WINS Client TCP/IP from the interface
B. Editing the registry key HKLM\SYSTEM\CurrentControlSet\LSA and adding the value RestrictAnonymous
C. Denying all unauthorized inbound connections to TCP port 53
D. Disabling TCP port 139/445
Answer: A,B,D
Explanation:
NetBIOS NULL session vulnerabilities are hard to prevent, especially if NetBIOS is needed as part of the infrastructure. One or more of the following steps can be taken to limit NetBIOS NULL session vulnerabilities: 1.Null sessions require access to the TCP 139 or TCP 445 port, which can be disabled by a Network Administrator. 2. A Network Administrator can also disable SMB services entirely on individual hosts by unbinding WINS Client TCP/IP from the interface. 3. A Network Administrator can also restrict the anonymous user by editing the registry values: a.Open regedit32, and go to HKLM\SYSTEM\CurrentControlSet\LSA. b.Choose edit > add value. Value name: RestrictAnonymous Data Type: REG_WORD Value: 2
Answer A is incorrect. TCP port 53 is the default port for DNS zone transfer. Although disabling it can help restrict DNS zone transfer enumeration, it is not useful as a countermeasure against the NetBIOS NULL session enumeration.
NEW QUESTION: 2
A. Option A
B. Option C
C. Option B
D. Option E
E. Option D
Answer: A
Explanation:
Scenarios and versions are the basis of the planning review cycle. Entities submit planning data for a particular scenario and version. The combination of scenario, version, and entity is called a planning unit and is the basic unit for preparing, reviewing, and approving plan data.
Reference: Hyperion System 9 Planning, Planning Units
NEW QUESTION: 3
You work for an advertising company and want to understand the effectiveness of your company's latest advertising campaign. You have streamed 500 MB of campaign data into BigQuery. You want to query the table, and then manipulate the results of that query with a pandas dataframe in an Al Platform notebook. What should you do?
A. Export your table as a CSV file from BigQuery to Google Drive, and use the Google Drive API to ingest the file into your notebook instance
B. Download your table from BigQuery as a local CSV file, and upload it to your Al Platform notebook instance Use pandas. read_csv to ingest the file as a pandas dataframe
C. Use Al Platform Notebooks' BigQuery cell magic to query the data, and ingest the results as a pandas dataframe
D. From a bash cell in your Al Platform notebook, use the bq extract command to export the table as a CSV file to Cloud Storage, and then use gsutii cp to copy the data into the notebook Use pandas. read_csv to ingest the file as a pandas dataframe
Answer: B